Upload 13 files

README.md

@@ -0,0 +1,833 @@
+---
+language: en
+license: mit
+tags:
+- bert
+- text-classification
+- sequence-classification
+metrics:
+- f1
+- loss
+model-index:
+- name: bge-small-en-region-classifier
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    metrics:
+    - type: f1
+      value: 0.8389
+      name: Evaluation F1
+    - type: loss
+      value: 0.4999
+      name: Evaluation Loss
+---
+# bge-small-en-region-classifier
+
+This model classifies English text into its most likely geographic region based on linguistic nuances, context, and terminology.
+
+## Supported Regions
+
+| Region | Covered Countries / Territories |
+| :--- | :--- |
+| **Africa** | Nigeria, South Africa |
+| **ANZ** | Australia, New Zealand |
+| **North America** | Canada, United States |
+| **South Asia** | India, Pakistan |
+| **Southeast Asia** | Hong Kong, Malaysia, Philippines, Singapore |
+| **UK & Ireland** | United Kingdom, Ireland |
+| **Other** | International or Global English |
+
+## Intended Uses & Limitations
+
+### Intended Uses
+* **Content Localization:** Route user feedback, support tickets, or inquiries to the appropriate regional teams automatically.
+* **Content Moderation & Compliance:** Filter or flag regional text variations for compliance with local digital standards or cultural sensitivities.
+* **Market Research & Analytics:** Analyze large-scale social media data, product reviews, or forum posts to understand the geographic distribution of your audience.
+* **Dataset Auditing:** Profile large text datasets to ensure geographic diversity or to detect regional imbalances before training downstream models.
+
+### Limitations & Biases
+* **Linguistic vs. Topical Clues:** The model relies on regional slang, sentence structure, specific spellings (e.g., *colour* vs. *color*), and language pulled from localized websites. Text written in highly standardized "Global English" will likely default to **Other**. Additionally, while named entities were anonymized in the training data, strong topical associations (e.g., discussions about cricket, kangaroos, or Thanksgiving) can still skew predictions toward a specific region.
+* **Code-Switching:** Performance may be impacted by text that heavily mixes English with local languages (e.g., Hinglish, Singlish). While these mixed languages are strong indicators of a broader geographic area (like South or Southeast Asia), heavy code-switching can lower specific classification accuracy.
+* **Short Inputs:** Very short texts (e.g., single-word queries or brief phrases) often lack enough linguistic signals for accurate classification, unless they contain a highly specific regional term.
+* **Demographic & Dialect Bias:** The model predicts based on dominant regional linguistic patterns and may misclassify text written by regional minorities, expatriates, or non-native speakers. Furthermore, several major English variations and dialects—such as Caribbean English, African-American Vernacular English (AAVE), and various English-based pidgins—were excluded from the training data.
+* **Not a Geolocation Tool:** This model predicts the *linguistic style* associated with a broad region, not a user's physical GPS location. For example, a user physically located in Canada writing in British English will likely be classified under **UK and Ireland**.
+
+## Use
+
+To get started with this model in Python using the Hugging Face Transformers library, run the following code:
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+model_id = "agentlans/bge-small-en-region-classifier"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForSequenceClassification.from_pretrained(model_id)
+
+text = "Replace this with your input text."
+inputs = tokenizer(text, return_tensors="pt")
+
+with torch.no_grad():
+    logits = model(**inputs).logits
+
+predicted_class_id = logits.argmax().item()
+predicted_class_name = model.config.id2label[predicted_class_id]
+
+print(f"Predicted Class ID: {predicted_class_id}")
+print(f"Predicted Class Name: {predicted_class_name}")
+```
+
+## Intended Uses & Limitations
+
+### Intended Use
+This model is designed for sequence classification tasks. Below are the specific class labels mapped to their corresponding IDs:
+
+| Label ID | Label Name |
+|---|---|
+| 0 | AFRICA |
+| 1 | ANZ |
+| 2 | NORTH_AMERICA |
+| 3 | OTHER |
+| 4 | SOUTHEAST_ASIA |
+| 5 | SOUTH_ASIA |
+| 6 | UK_IRELAND |
+
+## Training Details
+
+### Hyperparameters
+The following hyperparameters were used during fine-tuning:
+- **Learning Rate:** 5e-05
+- **Train Batch Size:** 8
+- **Eval Batch Size:** 8
+- **Optimizer:** OptimizerNames.ADAMW_TORCH_FUSED
+- **Number of Epochs:** 3.0
+- **Mixed Precision:** BF16
+
+<details>
+<summary><b>Show Advanced Training Configuration</b></summary>
+
+#### Optimization & Regularization
+- **Gradient Accumulation Steps:** 1
+- **Learning Rate Scheduler:** SchedulerType.LINEAR
+- **Warmup Steps:** 0
+- **Warmup Ratio:** None
+- **Weight Decay:** 0.0
+- **Max Gradient Norm:** 1.0
+
+#### Hardware & Reproducibility
+- **Number of GPUs:** 1
+- **Seed:** 42
+
+</details>
+
+## Training Results & Evaluation
+
+During fine-tuning, the model achieved the following results on the evaluation set:
+
+| Metric | Value |
+|---|---|
+| **Train Loss** | 0.6375 |
+| **Validation Loss** | 0.4999 |
+| **Validation F1 Score** | 0.8389 |
+| **Total FLOPs** | 4.0021e+16 |
+
+## Test Dataset Performance
+
+### Classification Metrics
+|                |   precision |   recall |   f1-score |   support |
+|:---------------|------------:|---------:|-----------:|----------:|
+| AFRICA         |      0.8405 |   0.6698 |     0.7455 |  1172     |
+| ANZ            |      0.8323 |   0.7787 |     0.8046 |  9872     |
+| NORTH_AMERICA  |      0.8013 |   0.7956 |     0.7984 |  6550     |
+| OTHER          |      0.7191 |   0.5424 |     0.6184 |   590     |
+| SOUTHEAST_ASIA |      0.7398 |   0.5349 |     0.6209 |  1090     |
+| SOUTH_ASIA     |      0.814  |   0.6519 |     0.7239 |  1215     |
+| UK_IRELAND     |      0.8636 |   0.9203 |     0.8911 | 24511     |
+| accuracy       |      0.843  |   0.843  |     0.843  |     0.843 |
+| macro avg      |      0.8015 |   0.6991 |     0.7432 | 45000     |
+| weighted avg   |      0.8408 |   0.843  |     0.8402 | 45000     |
+
+### Confusion Matrix
+|                       |   Pred AFRICA |   Pred ANZ |   Pred NORTH_AMERICA |   Pred OTHER |   Pred SOUTHEAST_ASIA |   Pred SOUTH_ASIA |   Pred UK_IRELAND |
+|:----------------------|--------------:|-----------:|---------------------:|-------------:|----------------------:|------------------:|------------------:|
+| Actual AFRICA         |           785 |         83 |                   64 |            4 |                     8 |                11 |               217 |
+| Actual ANZ            |            37 |       7687 |                  381 |           15 |                    50 |                18 |              1684 |
+| Actual NORTH_AMERICA  |            14 |        350 |                 5211 |           20 |                    41 |                44 |               870 |
+| Actual OTHER          |             4 |         21 |                   52 |          320 |                     7 |                 6 |               180 |
+| Actual SOUTHEAST_ASIA |             8 |         53 |                   91 |            2 |                   583 |                24 |               329 |
+| Actual SOUTH_ASIA     |             4 |         39 |                   63 |            4 |                    30 |               792 |               283 |
+| Actual UK_IRELAND     |            82 |       1003 |                  641 |           80 |                    69 |                78 |             22558 |
+
+### Sample Predictions
+
+- **Input:** Animal Species:Southern Ocean Sunfish, Mola ramsayi (Giglioli, 1883) The Southern Ocean Sunfish is a huge round-bodied fish that is sometimes seen 'basking' on the water surface in southern Australian waters. The Southern Ocean Sunfish is a deep bodi...
+- **Prediction:** ANZ
+- **Actual:** ANZ
+
+- **Input:** Posted in Dumbarton FC at 7:31 pm on 13 February 2013 Sons first goal on Saturday at Livingston was a belter. Scored by Brian Prunty it probably won’t be bettered by a Sons player this season. (At least not unless in a crucial game we score in a vita...
+- **Prediction:** UK_IRELAND
+- **Actual:** UK_IRELAND
+
+- **Input:** [pygtk] Updating scrolled windows reidar.hagen at gmail.com Fri Jun 23 08:35:56 WST 2006 Probably not the most insightfull reply, but using a TreeView and catching the 'row-changed' on the underlying tree-model and subsequently using TreeView.scroll_...
+- **Prediction:** ANZ
+- **Actual:** ANZ
+
+- **Input:** Get involved: send your pictures, video, news and views by texting WO to 80360, or email us Watford boss Gianfranco Zola says his players will need to keep their heads in crucial Crystal Palace clash Gianfranco Zola believes his Watford players will...
+- **Prediction:** UK_IRELAND
+- **Actual:** UK_IRELAND
+
+- **Input:** Range of Services All IVS services include highly trained staff with access to high quality ultrasound and duplex Doppler imaging instruments. The PCT benefits from our purpose designed database system which allows same day reporting, retrieval of ol...
+- **Prediction:** UK_IRELAND
+- **Actual:** UK_IRELAND
+
+- **Input:** Economy: Merkel shepherds us away from the fiscal cliff 3 January 2013 The last minute negotiations in Washington to avoid a budget shortfall show that short-termism is well grounded in US politics. And by contrast, it shows that despite her controve...
+- **Prediction:** OTHER
+- **Actual:** OTHER
+
+- **Input:** Israel Islam And Armageddon How Near Is the Final Battle for Jerusalem? by Dave Hunt; Hunt Dave Availability: Stock Available. Why buy from Eden.co.uk? Free UK Delivery on all orders over £5 Churches & Schools Click here to Buy Now and Pay Later Call...
+- **Prediction:** UK_IRELAND
+- **Actual:** UK_IRELAND
+
+- **Input:** To save me clogging up this blog by banging on about the lazy 'education is broken' meme used to justify venture capital, I've set up one of those Tumblr blogs that gathers stuff together here: http://brokeneducation.tumblr.com/ I think there's a sli...
+- **Prediction:** UK_IRELAND
+- **Actual:** UK_IRELAND
+
+- **Input:** POSB Loan Assist gives you cash in just 5 minutes To qualify for the Cash in 5mins* service, you must be between 21 years and 65 years of age, residing in Singapore and currently in a continuous employment of at least 12 months. |Application Requirem...
+- **Prediction:** SOUTHEAST_ASIA
+- **Actual:** SOUTHEAST_ASIA
+
+- **Input:** The Historical Jesus An article on the historical reality of Jesus of Nazareth: "The preaching of the early Church always presented Jesus as the Son of God and the only Savior." 4th century representation of Christ. The preaching of the early Church...
+- **Prediction:** ANZ
+- **Actual:** SOUTH_ASIA
+
+### Speed Performance
+- **Training Runtime:** 5003.7568 seconds
+- **Train Samples per Second:** 485.635
+- **Evaluation Runtime:** 24.8749 seconds
+- **Eval Samples per Second:** 1809.051
+
+<details>
+<summary><b>Show Detailed Training Logs</b></summary>
+
+### Training Logs History
+
+| Step | Epoch | Learning Rate | Training Loss | Validation Loss | Validation F1 |
+|---|---|---|---|---|---|
+| 500 | 0.005 | 4.9918e-05 | 1.3063 | N/A | N/A |
+| 1000 | 0.01 | 4.9836e-05 | 1.1521 | N/A | N/A |
+| 1500 | 0.015 | 4.9753e-05 | 1.0742 | N/A | N/A |
+| 2000 | 0.02 | 4.9671e-05 | 1.0137 | N/A | N/A |
+| 2500 | 0.025 | 4.9589e-05 | 1.033 | N/A | N/A |
+| 3000 | 0.03 | 4.9506e-05 | 0.9955 | N/A | N/A |
+| 3500 | 0.035 | 4.9424e-05 | 0.9833 | N/A | N/A |
+| 4000 | 0.04 | 4.9342e-05 | 0.9519 | N/A | N/A |
+| 4500 | 0.044 | 4.9259e-05 | 0.9786 | N/A | N/A |
+| 5000 | 0.049 | 4.9177e-05 | 0.9236 | N/A | N/A |
+| 5500 | 0.054 | 4.9095e-05 | 0.9292 | N/A | N/A |
+| 6000 | 0.059 | 4.9013e-05 | 0.9246 | N/A | N/A |
+| 6500 | 0.064 | 4.8930e-05 | 0.9043 | N/A | N/A |
+| 7000 | 0.069 | 4.8848e-05 | 0.9124 | N/A | N/A |
+| 7500 | 0.074 | 4.8766e-05 | 0.9025 | N/A | N/A |
+| 8000 | 0.079 | 4.8683e-05 | 0.8986 | N/A | N/A |
+| 8500 | 0.084 | 4.8601e-05 | 0.8911 | N/A | N/A |
+| 9000 | 0.089 | 4.8519e-05 | 0.8951 | N/A | N/A |
+| 9500 | 0.094 | 4.8436e-05 | 0.8944 | N/A | N/A |
+| 10000 | 0.099 | 4.8354e-05 | 0.8617 | N/A | N/A |
+| 10500 | 0.104 | 4.8272e-05 | 0.8772 | N/A | N/A |
+| 11000 | 0.109 | 4.8189e-05 | 0.8452 | N/A | N/A |
+| 11500 | 0.114 | 4.8107e-05 | 0.8774 | N/A | N/A |
+| 12000 | 0.119 | 4.8025e-05 | 0.8493 | N/A | N/A |
+| 12500 | 0.123 | 4.7943e-05 | 0.8724 | N/A | N/A |
+| 13000 | 0.128 | 4.7860e-05 | 0.8454 | N/A | N/A |
+| 13500 | 0.133 | 4.7778e-05 | 0.8675 | N/A | N/A |
+| 14000 | 0.138 | 4.7696e-05 | 0.8615 | N/A | N/A |
+| 14500 | 0.143 | 4.7613e-05 | 0.8175 | N/A | N/A |
+| 15000 | 0.148 | 4.7531e-05 | 0.8586 | N/A | N/A |
+| 15500 | 0.153 | 4.7449e-05 | 0.8654 | N/A | N/A |
+| 16000 | 0.158 | 4.7366e-05 | 0.8199 | N/A | N/A |
+| 16500 | 0.163 | 4.7284e-05 | 0.8549 | N/A | N/A |
+| 17000 | 0.168 | 4.7202e-05 | 0.8149 | N/A | N/A |
+| 17500 | 0.173 | 4.7120e-05 | 0.8311 | N/A | N/A |
+| 18000 | 0.178 | 4.7037e-05 | 0.8189 | N/A | N/A |
+| 18500 | 0.183 | 4.6955e-05 | 0.8313 | N/A | N/A |
+| 19000 | 0.188 | 4.6873e-05 | 0.8109 | N/A | N/A |
+| 19500 | 0.193 | 4.6790e-05 | 0.8168 | N/A | N/A |
+| 20000 | 0.198 | 4.6708e-05 | 0.8561 | N/A | N/A |
+| 20500 | 0.202 | 4.6626e-05 | 0.816 | N/A | N/A |
+| 21000 | 0.207 | 4.6543e-05 | 0.8095 | N/A | N/A |
+| 21500 | 0.212 | 4.6461e-05 | 0.811 | N/A | N/A |
+| 22000 | 0.217 | 4.6379e-05 | 0.8245 | N/A | N/A |
+| 22500 | 0.222 | 4.6296e-05 | 0.8291 | N/A | N/A |
+| 23000 | 0.227 | 4.6214e-05 | 0.811 | N/A | N/A |
+| 23500 | 0.232 | 4.6132e-05 | 0.7874 | N/A | N/A |
+| 24000 | 0.237 | 4.6050e-05 | 0.7993 | N/A | N/A |
+| 24500 | 0.242 | 4.5967e-05 | 0.834 | N/A | N/A |
+| 25000 | 0.247 | 4.5885e-05 | 0.8004 | N/A | N/A |
+| 25500 | 0.252 | 4.5803e-05 | 0.84 | N/A | N/A |
+| 26000 | 0.257 | 4.5720e-05 | 0.7941 | N/A | N/A |
+| 26500 | 0.262 | 4.5638e-05 | 0.7812 | N/A | N/A |
+| 27000 | 0.267 | 4.5556e-05 | 0.7956 | N/A | N/A |
+| 27500 | 0.272 | 4.5473e-05 | 0.794 | N/A | N/A |
+| 28000 | 0.277 | 4.5391e-05 | 0.7827 | N/A | N/A |
+| 28500 | 0.281 | 4.5309e-05 | 0.8104 | N/A | N/A |
+| 29000 | 0.286 | 4.5227e-05 | 0.7988 | N/A | N/A |
+| 29500 | 0.291 | 4.5144e-05 | 0.8113 | N/A | N/A |
+| 30000 | 0.296 | 4.5062e-05 | 0.7936 | N/A | N/A |
+| 30500 | 0.301 | 4.4980e-05 | 0.777 | N/A | N/A |
+| 31000 | 0.306 | 4.4897e-05 | 0.7917 | N/A | N/A |
+| 31500 | 0.311 | 4.4815e-05 | 0.7812 | N/A | N/A |
+| 32000 | 0.316 | 4.4733e-05 | 0.7829 | N/A | N/A |
+| 32500 | 0.321 | 4.4650e-05 | 0.7981 | N/A | N/A |
+| 33000 | 0.326 | 4.4568e-05 | 0.7633 | N/A | N/A |
+| 33500 | 0.331 | 4.4486e-05 | 0.7752 | N/A | N/A |
+| 34000 | 0.336 | 4.4403e-05 | 0.794 | N/A | N/A |
+| 34500 | 0.341 | 4.4321e-05 | 0.7771 | N/A | N/A |
+| 35000 | 0.346 | 4.4239e-05 | 0.7875 | N/A | N/A |
+| 35500 | 0.351 | 4.4157e-05 | 0.7738 | N/A | N/A |
+| 36000 | 0.356 | 4.4074e-05 | 0.7842 | N/A | N/A |
+| 36500 | 0.36 | 4.3992e-05 | 0.7476 | N/A | N/A |
+| 37000 | 0.365 | 4.3910e-05 | 0.7745 | N/A | N/A |
+| 37500 | 0.37 | 4.3827e-05 | 0.7452 | N/A | N/A |
+| 38000 | 0.375 | 4.3745e-05 | 0.8083 | N/A | N/A |
+| 38500 | 0.38 | 4.3663e-05 | 0.767 | N/A | N/A |
+| 39000 | 0.385 | 4.3580e-05 | 0.7772 | N/A | N/A |
+| 39500 | 0.39 | 4.3498e-05 | 0.7734 | N/A | N/A |
+| 40000 | 0.395 | 4.3416e-05 | 0.7745 | N/A | N/A |
+| 40500 | 0.4 | 4.3333e-05 | 0.7496 | N/A | N/A |
+| 41000 | 0.405 | 4.3251e-05 | 0.7391 | N/A | N/A |
+| 41500 | 0.41 | 4.3169e-05 | 0.7753 | N/A | N/A |
+| 42000 | 0.415 | 4.3087e-05 | 0.7442 | N/A | N/A |
+| 42500 | 0.42 | 4.3004e-05 | 0.7623 | N/A | N/A |
+| 43000 | 0.425 | 4.2922e-05 | 0.7648 | N/A | N/A |
+| 43500 | 0.43 | 4.2840e-05 | 0.7626 | N/A | N/A |
+| 44000 | 0.435 | 4.2757e-05 | 0.7945 | N/A | N/A |
+| 44500 | 0.44 | 4.2675e-05 | 0.7535 | N/A | N/A |
+| 45000 | 0.444 | 4.2593e-05 | 0.7651 | N/A | N/A |
+| 45500 | 0.449 | 4.2510e-05 | 0.7754 | N/A | N/A |
+| 46000 | 0.454 | 4.2428e-05 | 0.7585 | N/A | N/A |
+| 46500 | 0.459 | 4.2346e-05 | 0.773 | N/A | N/A |
+| 47000 | 0.464 | 4.2264e-05 | 0.762 | N/A | N/A |
+| 47500 | 0.469 | 4.2181e-05 | 0.7636 | N/A | N/A |
+| 48000 | 0.474 | 4.2099e-05 | 0.7612 | N/A | N/A |
+| 48500 | 0.479 | 4.2017e-05 | 0.7559 | N/A | N/A |
+| 49000 | 0.484 | 4.1934e-05 | 0.7421 | N/A | N/A |
+| 49500 | 0.489 | 4.1852e-05 | 0.7379 | N/A | N/A |
+| 50000 | 0.494 | 4.1770e-05 | 0.7837 | N/A | N/A |
+| 50500 | 0.499 | 4.1687e-05 | 0.7652 | N/A | N/A |
+| 51000 | 0.504 | 4.1605e-05 | 0.7449 | N/A | N/A |
+| 51500 | 0.509 | 4.1523e-05 | 0.7526 | N/A | N/A |
+| 52000 | 0.514 | 4.1440e-05 | 0.7672 | N/A | N/A |
+| 52500 | 0.519 | 4.1358e-05 | 0.7553 | N/A | N/A |
+| 53000 | 0.523 | 4.1276e-05 | 0.7443 | N/A | N/A |
+| 53500 | 0.528 | 4.1194e-05 | 0.7619 | N/A | N/A |
+| 54000 | 0.533 | 4.1111e-05 | 0.7879 | N/A | N/A |
+| 54500 | 0.538 | 4.1029e-05 | 0.7456 | N/A | N/A |
+| 55000 | 0.543 | 4.0947e-05 | 0.7451 | N/A | N/A |
+| 55500 | 0.548 | 4.0864e-05 | 0.7191 | N/A | N/A |
+| 56000 | 0.553 | 4.0782e-05 | 0.7398 | N/A | N/A |
+| 56500 | 0.558 | 4.0700e-05 | 0.7551 | N/A | N/A |
+| 57000 | 0.563 | 4.0617e-05 | 0.749 | N/A | N/A |
+| 57500 | 0.568 | 4.0535e-05 | 0.7567 | N/A | N/A |
+| 58000 | 0.573 | 4.0453e-05 | 0.7738 | N/A | N/A |
+| 58500 | 0.578 | 4.0371e-05 | 0.7652 | N/A | N/A |
+| 59000 | 0.583 | 4.0288e-05 | 0.7148 | N/A | N/A |
+| 59500 | 0.588 | 4.0206e-05 | 0.7445 | N/A | N/A |
+| 60000 | 0.593 | 4.0124e-05 | 0.7351 | N/A | N/A |
+| 60500 | 0.598 | 4.0041e-05 | 0.7322 | N/A | N/A |
+| 61000 | 0.602 | 3.9959e-05 | 0.7291 | N/A | N/A |
+| 61500 | 0.607 | 3.9877e-05 | 0.7512 | N/A | N/A |
+| 62000 | 0.612 | 3.9794e-05 | 0.721 | N/A | N/A |
+| 62500 | 0.617 | 3.9712e-05 | 0.7493 | N/A | N/A |
+| 63000 | 0.622 | 3.9630e-05 | 0.7586 | N/A | N/A |
+| 63500 | 0.627 | 3.9547e-05 | 0.7269 | N/A | N/A |
+| 64000 | 0.632 | 3.9465e-05 | 0.7109 | N/A | N/A |
+| 64500 | 0.637 | 3.9383e-05 | 0.7646 | N/A | N/A |
+| 65000 | 0.642 | 3.9301e-05 | 0.736 | N/A | N/A |
+| 65500 | 0.647 | 3.9218e-05 | 0.7287 | N/A | N/A |
+| 66000 | 0.652 | 3.9136e-05 | 0.729 | N/A | N/A |
+| 66500 | 0.657 | 3.9054e-05 | 0.7369 | N/A | N/A |
+| 67000 | 0.662 | 3.8971e-05 | 0.7021 | N/A | N/A |
+| 67500 | 0.667 | 3.8889e-05 | 0.7342 | N/A | N/A |
+| 68000 | 0.672 | 3.8807e-05 | 0.7379 | N/A | N/A |
+| 68500 | 0.677 | 3.8724e-05 | 0.732 | N/A | N/A |
+| 69000 | 0.681 | 3.8642e-05 | 0.7316 | N/A | N/A |
+| 69500 | 0.686 | 3.8560e-05 | 0.7326 | N/A | N/A |
+| 70000 | 0.691 | 3.8478e-05 | 0.7443 | N/A | N/A |
+| 70500 | 0.696 | 3.8395e-05 | 0.7402 | N/A | N/A |
+| 71000 | 0.701 | 3.8313e-05 | 0.7519 | N/A | N/A |
+| 71500 | 0.706 | 3.8231e-05 | 0.7421 | N/A | N/A |
+| 72000 | 0.711 | 3.8148e-05 | 0.7217 | N/A | N/A |
+| 72500 | 0.716 | 3.8066e-05 | 0.7077 | N/A | N/A |
+| 73000 | 0.721 | 3.7984e-05 | 0.7074 | N/A | N/A |
+| 73500 | 0.726 | 3.7901e-05 | 0.7332 | N/A | N/A |
+| 74000 | 0.731 | 3.7819e-05 | 0.7385 | N/A | N/A |
+| 74500 | 0.736 | 3.7737e-05 | 0.7339 | N/A | N/A |
+| 75000 | 0.741 | 3.7654e-05 | 0.7171 | N/A | N/A |
+| 75500 | 0.746 | 3.7572e-05 | 0.7032 | N/A | N/A |
+| 76000 | 0.751 | 3.7490e-05 | 0.7353 | N/A | N/A |
+| 76500 | 0.756 | 3.7408e-05 | 0.7232 | N/A | N/A |
+| 77000 | 0.76 | 3.7325e-05 | 0.6953 | N/A | N/A |
+| 77500 | 0.765 | 3.7243e-05 | 0.6858 | N/A | N/A |
+| 78000 | 0.77 | 3.7161e-05 | 0.7233 | N/A | N/A |
+| 78500 | 0.775 | 3.7078e-05 | 0.7129 | N/A | N/A |
+| 79000 | 0.78 | 3.6996e-05 | 0.6959 | N/A | N/A |
+| 79500 | 0.785 | 3.6914e-05 | 0.7329 | N/A | N/A |
+| 80000 | 0.79 | 3.6831e-05 | 0.736 | N/A | N/A |
+| 80500 | 0.795 | 3.6749e-05 | 0.701 | N/A | N/A |
+| 81000 | 0.8 | 3.6667e-05 | 0.7157 | N/A | N/A |
+| 81500 | 0.805 | 3.6585e-05 | 0.7227 | N/A | N/A |
+| 82000 | 0.81 | 3.6502e-05 | 0.7073 | N/A | N/A |
+| 82500 | 0.815 | 3.6420e-05 | 0.7141 | N/A | N/A |
+| 83000 | 0.82 | 3.6338e-05 | 0.7523 | N/A | N/A |
+| 83500 | 0.825 | 3.6255e-05 | 0.6861 | N/A | N/A |
+| 84000 | 0.83 | 3.6173e-05 | 0.7205 | N/A | N/A |
+| 84500 | 0.835 | 3.6091e-05 | 0.6735 | N/A | N/A |
+| 85000 | 0.84 | 3.6008e-05 | 0.7051 | N/A | N/A |
+| 85500 | 0.844 | 3.5926e-05 | 0.6597 | N/A | N/A |
+| 86000 | 0.849 | 3.5844e-05 | 0.7066 | N/A | N/A |
+| 86500 | 0.854 | 3.5761e-05 | 0.7128 | N/A | N/A |
+| 87000 | 0.859 | 3.5679e-05 | 0.7125 | N/A | N/A |
+| 87500 | 0.864 | 3.5597e-05 | 0.7463 | N/A | N/A |
+| 88000 | 0.869 | 3.5515e-05 | 0.7212 | N/A | N/A |
+| 88500 | 0.874 | 3.5432e-05 | 0.6792 | N/A | N/A |
+| 89000 | 0.879 | 3.5350e-05 | 0.6758 | N/A | N/A |
+| 89500 | 0.884 | 3.5268e-05 | 0.7242 | N/A | N/A |
+| 90000 | 0.889 | 3.5185e-05 | 0.7335 | N/A | N/A |
+| 90500 | 0.894 | 3.5103e-05 | 0.7281 | N/A | N/A |
+| 91000 | 0.899 | 3.5021e-05 | 0.68 | N/A | N/A |
+| 91500 | 0.904 | 3.4938e-05 | 0.6776 | N/A | N/A |
+| 92000 | 0.909 | 3.4856e-05 | 0.686 | N/A | N/A |
+| 92500 | 0.914 | 3.4774e-05 | 0.7117 | N/A | N/A |
+| 93000 | 0.919 | 3.4692e-05 | 0.7019 | N/A | N/A |
+| 93500 | 0.923 | 3.4609e-05 | 0.7063 | N/A | N/A |
+| 94000 | 0.928 | 3.4527e-05 | 0.7078 | N/A | N/A |
+| 94500 | 0.933 | 3.4445e-05 | 0.7213 | N/A | N/A |
+| 95000 | 0.938 | 3.4362e-05 | 0.7148 | N/A | N/A |
+| 95500 | 0.943 | 3.4280e-05 | 0.6901 | N/A | N/A |
+| 96000 | 0.948 | 3.4198e-05 | 0.6892 | N/A | N/A |
+| 96500 | 0.953 | 3.4115e-05 | 0.6926 | N/A | N/A |
+| 97000 | 0.958 | 3.4033e-05 | 0.6991 | N/A | N/A |
+| 97500 | 0.963 | 3.3951e-05 | 0.7145 | N/A | N/A |
+| 98000 | 0.968 | 3.3868e-05 | 0.7013 | N/A | N/A |
+| 98500 | 0.973 | 3.3786e-05 | 0.6986 | N/A | N/A |
+| 99000 | 0.978 | 3.3704e-05 | 0.7371 | N/A | N/A |
+| 99500 | 0.983 | 3.3622e-05 | 0.7127 | N/A | N/A |
+| 100000 | 0.988 | 3.3539e-05 | 0.6942 | N/A | N/A |
+| 100500 | 0.993 | 3.3457e-05 | 0.726 | N/A | N/A |
+| 101000 | 0.998 | 3.3375e-05 | 0.683 | N/A | N/A |
+| 101250 | 1.0 | N/A | N/A | 0.5154 | 0.8193 |
+| 101500 | 1.002 | 3.3292e-05 | 0.6359 | N/A | N/A |
+| 102000 | 1.007 | 3.3210e-05 | 0.6171 | N/A | N/A |
+| 102500 | 1.012 | 3.3128e-05 | 0.6353 | N/A | N/A |
+| 103000 | 1.017 | 3.3045e-05 | 0.6488 | N/A | N/A |
+| 103500 | 1.022 | 3.2963e-05 | 0.6386 | N/A | N/A |
+| 104000 | 1.027 | 3.2881e-05 | 0.6482 | N/A | N/A |
+| 104500 | 1.032 | 3.2799e-05 | 0.6402 | N/A | N/A |
+| 105000 | 1.037 | 3.2716e-05 | 0.637 | N/A | N/A |
+| 105500 | 1.042 | 3.2634e-05 | 0.6291 | N/A | N/A |
+| 106000 | 1.047 | 3.2552e-05 | 0.6607 | N/A | N/A |
+| 106500 | 1.052 | 3.2469e-05 | 0.6427 | N/A | N/A |
+| 107000 | 1.057 | 3.2387e-05 | 0.6313 | N/A | N/A |
+| 107500 | 1.062 | 3.2305e-05 | 0.6427 | N/A | N/A |
+| 108000 | 1.067 | 3.2222e-05 | 0.6301 | N/A | N/A |
+| 108500 | 1.072 | 3.2140e-05 | 0.6567 | N/A | N/A |
+| 109000 | 1.077 | 3.2058e-05 | 0.6391 | N/A | N/A |
+| 109500 | 1.081 | 3.1975e-05 | 0.648 | N/A | N/A |
+| 110000 | 1.086 | 3.1893e-05 | 0.6612 | N/A | N/A |
+| 110500 | 1.091 | 3.1811e-05 | 0.6369 | N/A | N/A |
+| 111000 | 1.096 | 3.1729e-05 | 0.6479 | N/A | N/A |
+| 111500 | 1.101 | 3.1646e-05 | 0.6363 | N/A | N/A |
+| 112000 | 1.106 | 3.1564e-05 | 0.6183 | N/A | N/A |
+| 112500 | 1.111 | 3.1482e-05 | 0.6116 | N/A | N/A |
+| 113000 | 1.116 | 3.1399e-05 | 0.6279 | N/A | N/A |
+| 113500 | 1.121 | 3.1317e-05 | 0.6184 | N/A | N/A |
+| 114000 | 1.126 | 3.1235e-05 | 0.6564 | N/A | N/A |
+| 114500 | 1.131 | 3.1152e-05 | 0.5961 | N/A | N/A |
+| 115000 | 1.136 | 3.1070e-05 | 0.6488 | N/A | N/A |
+| 115500 | 1.141 | 3.0988e-05 | 0.6416 | N/A | N/A |
+| 116000 | 1.146 | 3.0906e-05 | 0.665 | N/A | N/A |
+| 116500 | 1.151 | 3.0823e-05 | 0.6394 | N/A | N/A |
+| 117000 | 1.156 | 3.0741e-05 | 0.6361 | N/A | N/A |
+| 117500 | 1.16 | 3.0659e-05 | 0.6522 | N/A | N/A |
+| 118000 | 1.165 | 3.0576e-05 | 0.6243 | N/A | N/A |
+| 118500 | 1.17 | 3.0494e-05 | 0.6522 | N/A | N/A |
+| 119000 | 1.175 | 3.0412e-05 | 0.5939 | N/A | N/A |
+| 119500 | 1.18 | 3.0329e-05 | 0.6188 | N/A | N/A |
+| 120000 | 1.185 | 3.0247e-05 | 0.6243 | N/A | N/A |
+| 120500 | 1.19 | 3.0165e-05 | 0.6452 | N/A | N/A |
+| 121000 | 1.195 | 3.0082e-05 | 0.6454 | N/A | N/A |
+| 121500 | 1.2 | 3.0000e-05 | 0.635 | N/A | N/A |
+| 122000 | 1.205 | 2.9918e-05 | 0.6088 | N/A | N/A |
+| 122500 | 1.21 | 2.9836e-05 | 0.6488 | N/A | N/A |
+| 123000 | 1.215 | 2.9753e-05 | 0.6396 | N/A | N/A |
+| 123500 | 1.22 | 2.9671e-05 | 0.6498 | N/A | N/A |
+| 124000 | 1.225 | 2.9589e-05 | 0.6023 | N/A | N/A |
+| 124500 | 1.23 | 2.9506e-05 | 0.6333 | N/A | N/A |
+| 125000 | 1.235 | 2.9424e-05 | 0.6269 | N/A | N/A |
+| 125500 | 1.24 | 2.9342e-05 | 0.6454 | N/A | N/A |
+| 126000 | 1.244 | 2.9259e-05 | 0.62 | N/A | N/A |
+| 126500 | 1.249 | 2.9177e-05 | 0.6165 | N/A | N/A |
+| 127000 | 1.254 | 2.9095e-05 | 0.609 | N/A | N/A |
+| 127500 | 1.259 | 2.9013e-05 | 0.6246 | N/A | N/A |
+| 128000 | 1.264 | 2.8930e-05 | 0.6351 | N/A | N/A |
+| 128500 | 1.269 | 2.8848e-05 | 0.6319 | N/A | N/A |
+| 129000 | 1.274 | 2.8766e-05 | 0.6185 | N/A | N/A |
+| 129500 | 1.279 | 2.8683e-05 | 0.6265 | N/A | N/A |
+| 130000 | 1.284 | 2.8601e-05 | 0.6275 | N/A | N/A |
+| 130500 | 1.289 | 2.8519e-05 | 0.6127 | N/A | N/A |
+| 131000 | 1.294 | 2.8436e-05 | 0.6048 | N/A | N/A |
+| 131500 | 1.299 | 2.8354e-05 | 0.6202 | N/A | N/A |
+| 132000 | 1.304 | 2.8272e-05 | 0.6187 | N/A | N/A |
+| 132500 | 1.309 | 2.8189e-05 | 0.6283 | N/A | N/A |
+| 133000 | 1.314 | 2.8107e-05 | 0.6224 | N/A | N/A |
+| 133500 | 1.319 | 2.8025e-05 | 0.6041 | N/A | N/A |
+| 134000 | 1.323 | 2.7943e-05 | 0.6459 | N/A | N/A |
+| 134500 | 1.328 | 2.7860e-05 | 0.6187 | N/A | N/A |
+| 135000 | 1.333 | 2.7778e-05 | 0.6102 | N/A | N/A |
+| 135500 | 1.338 | 2.7696e-05 | 0.6065 | N/A | N/A |
+| 136000 | 1.343 | 2.7613e-05 | 0.6334 | N/A | N/A |
+| 136500 | 1.348 | 2.7531e-05 | 0.6182 | N/A | N/A |
+| 137000 | 1.353 | 2.7449e-05 | 0.6139 | N/A | N/A |
+| 137500 | 1.358 | 2.7366e-05 | 0.6483 | N/A | N/A |
+| 138000 | 1.363 | 2.7284e-05 | 0.6257 | N/A | N/A |
+| 138500 | 1.368 | 2.7202e-05 | 0.6091 | N/A | N/A |
+| 139000 | 1.373 | 2.7120e-05 | 0.6263 | N/A | N/A |
+| 139500 | 1.378 | 2.7037e-05 | 0.6476 | N/A | N/A |
+| 140000 | 1.383 | 2.6955e-05 | 0.6191 | N/A | N/A |
+| 140500 | 1.388 | 2.6873e-05 | 0.63 | N/A | N/A |
+| 141000 | 1.393 | 2.6790e-05 | 0.6356 | N/A | N/A |
+| 141500 | 1.398 | 2.6708e-05 | 0.6359 | N/A | N/A |
+| 142000 | 1.402 | 2.6626e-05 | 0.6283 | N/A | N/A |
+| 142500 | 1.407 | 2.6543e-05 | 0.6303 | N/A | N/A |
+| 143000 | 1.412 | 2.6461e-05 | 0.6045 | N/A | N/A |
+| 143500 | 1.417 | 2.6379e-05 | 0.635 | N/A | N/A |
+| 144000 | 1.422 | 2.6296e-05 | 0.6428 | N/A | N/A |
+| 144500 | 1.427 | 2.6214e-05 | 0.6425 | N/A | N/A |
+| 145000 | 1.432 | 2.6132e-05 | 0.637 | N/A | N/A |
+| 145500 | 1.437 | 2.6050e-05 | 0.6196 | N/A | N/A |
+| 146000 | 1.442 | 2.5967e-05 | 0.6123 | N/A | N/A |
+| 146500 | 1.447 | 2.5885e-05 | 0.6231 | N/A | N/A |
+| 147000 | 1.452 | 2.5803e-05 | 0.6309 | N/A | N/A |
+| 147500 | 1.457 | 2.5720e-05 | 0.632 | N/A | N/A |
+| 148000 | 1.462 | 2.5638e-05 | 0.6344 | N/A | N/A |
+| 148500 | 1.467 | 2.5556e-05 | 0.6167 | N/A | N/A |
+| 149000 | 1.472 | 2.5473e-05 | 0.6424 | N/A | N/A |
+| 149500 | 1.477 | 2.5391e-05 | 0.6094 | N/A | N/A |
+| 150000 | 1.481 | 2.5309e-05 | 0.6154 | N/A | N/A |
+| 150500 | 1.486 | 2.5227e-05 | 0.6155 | N/A | N/A |
+| 151000 | 1.491 | 2.5144e-05 | 0.6257 | N/A | N/A |
+| 151500 | 1.496 | 2.5062e-05 | 0.6128 | N/A | N/A |
+| 152000 | 1.501 | 2.4980e-05 | 0.6172 | N/A | N/A |
+| 152500 | 1.506 | 2.4897e-05 | 0.6139 | N/A | N/A |
+| 153000 | 1.511 | 2.4815e-05 | 0.6299 | N/A | N/A |
+| 153500 | 1.516 | 2.4733e-05 | 0.608 | N/A | N/A |
+| 154000 | 1.521 | 2.4650e-05 | 0.6428 | N/A | N/A |
+| 154500 | 1.526 | 2.4568e-05 | 0.6119 | N/A | N/A |
+| 155000 | 1.531 | 2.4486e-05 | 0.6223 | N/A | N/A |
+| 155500 | 1.536 | 2.4403e-05 | 0.6186 | N/A | N/A |
+| 156000 | 1.541 | 2.4321e-05 | 0.6302 | N/A | N/A |
+| 156500 | 1.546 | 2.4239e-05 | 0.5809 | N/A | N/A |
+| 157000 | 1.551 | 2.4157e-05 | 0.6149 | N/A | N/A |
+| 157500 | 1.556 | 2.4074e-05 | 0.6206 | N/A | N/A |
+| 158000 | 1.56 | 2.3992e-05 | 0.6176 | N/A | N/A |
+| 158500 | 1.565 | 2.3910e-05 | 0.6003 | N/A | N/A |
+| 159000 | 1.57 | 2.3827e-05 | 0.6201 | N/A | N/A |
+| 159500 | 1.575 | 2.3745e-05 | 0.6092 | N/A | N/A |
+| 160000 | 1.58 | 2.3663e-05 | 0.5997 | N/A | N/A |
+| 160500 | 1.585 | 2.3580e-05 | 0.6136 | N/A | N/A |
+| 161000 | 1.59 | 2.3498e-05 | 0.6107 | N/A | N/A |
+| 161500 | 1.595 | 2.3416e-05 | 0.619 | N/A | N/A |
+| 162000 | 1.6 | 2.3333e-05 | 0.6205 | N/A | N/A |
+| 162500 | 1.605 | 2.3251e-05 | 0.6184 | N/A | N/A |
+| 163000 | 1.61 | 2.3169e-05 | 0.6071 | N/A | N/A |
+| 163500 | 1.615 | 2.3087e-05 | 0.6208 | N/A | N/A |
+| 164000 | 1.62 | 2.3004e-05 | 0.6089 | N/A | N/A |
+| 164500 | 1.625 | 2.2922e-05 | 0.6379 | N/A | N/A |
+| 165000 | 1.63 | 2.2840e-05 | 0.6227 | N/A | N/A |
+| 165500 | 1.635 | 2.2757e-05 | 0.6236 | N/A | N/A |
+| 166000 | 1.64 | 2.2675e-05 | 0.6055 | N/A | N/A |
+| 166500 | 1.644 | 2.2593e-05 | 0.6025 | N/A | N/A |
+| 167000 | 1.649 | 2.2510e-05 | 0.6104 | N/A | N/A |
+| 167500 | 1.654 | 2.2428e-05 | 0.5978 | N/A | N/A |
+| 168000 | 1.659 | 2.2346e-05 | 0.6073 | N/A | N/A |
+| 168500 | 1.664 | 2.2264e-05 | 0.6345 | N/A | N/A |
+| 169000 | 1.669 | 2.2181e-05 | 0.6174 | N/A | N/A |
+| 169500 | 1.674 | 2.2099e-05 | 0.5993 | N/A | N/A |
+| 170000 | 1.679 | 2.2017e-05 | 0.5972 | N/A | N/A |
+| 170500 | 1.684 | 2.1934e-05 | 0.5975 | N/A | N/A |
+| 171000 | 1.689 | 2.1852e-05 | 0.6077 | N/A | N/A |
+| 171500 | 1.694 | 2.1770e-05 | 0.6212 | N/A | N/A |
+| 172000 | 1.699 | 2.1687e-05 | 0.6152 | N/A | N/A |
+| 172500 | 1.704 | 2.1605e-05 | 0.6107 | N/A | N/A |
+| 173000 | 1.709 | 2.1523e-05 | 0.6288 | N/A | N/A |
+| 173500 | 1.714 | 2.1440e-05 | 0.617 | N/A | N/A |
+| 174000 | 1.719 | 2.1358e-05 | 0.6005 | N/A | N/A |
+| 174500 | 1.723 | 2.1276e-05 | 0.6112 | N/A | N/A |
+| 175000 | 1.728 | 2.1194e-05 | 0.6059 | N/A | N/A |
+| 175500 | 1.733 | 2.1111e-05 | 0.6136 | N/A | N/A |
+| 176000 | 1.738 | 2.1029e-05 | 0.6132 | N/A | N/A |
+| 176500 | 1.743 | 2.0947e-05 | 0.5937 | N/A | N/A |
+| 177000 | 1.748 | 2.0864e-05 | 0.6085 | N/A | N/A |
+| 177500 | 1.753 | 2.0782e-05 | 0.5782 | N/A | N/A |
+| 178000 | 1.758 | 2.0700e-05 | 0.5918 | N/A | N/A |
+| 178500 | 1.763 | 2.0617e-05 | 0.5937 | N/A | N/A |
+| 179000 | 1.768 | 2.0535e-05 | 0.6077 | N/A | N/A |
+| 179500 | 1.773 | 2.0453e-05 | 0.5834 | N/A | N/A |
+| 180000 | 1.778 | 2.0371e-05 | 0.5973 | N/A | N/A |
+| 180500 | 1.783 | 2.0288e-05 | 0.5952 | N/A | N/A |
+| 181000 | 1.788 | 2.0206e-05 | 0.6041 | N/A | N/A |
+| 181500 | 1.793 | 2.0124e-05 | 0.607 | N/A | N/A |
+| 182000 | 1.798 | 2.0041e-05 | 0.5943 | N/A | N/A |
+| 182500 | 1.802 | 1.9959e-05 | 0.582 | N/A | N/A |
+| 183000 | 1.807 | 1.9877e-05 | 0.5937 | N/A | N/A |
+| 183500 | 1.812 | 1.9794e-05 | 0.6018 | N/A | N/A |
+| 184000 | 1.817 | 1.9712e-05 | 0.5587 | N/A | N/A |
+| 184500 | 1.822 | 1.9630e-05 | 0.6143 | N/A | N/A |
+| 185000 | 1.827 | 1.9547e-05 | 0.6088 | N/A | N/A |
+| 185500 | 1.832 | 1.9465e-05 | 0.5868 | N/A | N/A |
+| 186000 | 1.837 | 1.9383e-05 | 0.6133 | N/A | N/A |
+| 186500 | 1.842 | 1.9301e-05 | 0.6157 | N/A | N/A |
+| 187000 | 1.847 | 1.9218e-05 | 0.6134 | N/A | N/A |
+| 187500 | 1.852 | 1.9136e-05 | 0.596 | N/A | N/A |
+| 188000 | 1.857 | 1.9054e-05 | 0.5784 | N/A | N/A |
+| 188500 | 1.862 | 1.8971e-05 | 0.6023 | N/A | N/A |
+| 189000 | 1.867 | 1.8889e-05 | 0.6115 | N/A | N/A |
+| 189500 | 1.872 | 1.8807e-05 | 0.5868 | N/A | N/A |
+| 190000 | 1.877 | 1.8724e-05 | 0.5998 | N/A | N/A |
+| 190500 | 1.881 | 1.8642e-05 | 0.6127 | N/A | N/A |
+| 191000 | 1.886 | 1.8560e-05 | 0.5796 | N/A | N/A |
+| 191500 | 1.891 | 1.8478e-05 | 0.6135 | N/A | N/A |
+| 192000 | 1.896 | 1.8395e-05 | 0.5919 | N/A | N/A |
+| 192500 | 1.901 | 1.8313e-05 | 0.6007 | N/A | N/A |
+| 193000 | 1.906 | 1.8231e-05 | 0.5699 | N/A | N/A |
+| 193500 | 1.911 | 1.8148e-05 | 0.611 | N/A | N/A |
+| 194000 | 1.916 | 1.8066e-05 | 0.6003 | N/A | N/A |
+| 194500 | 1.921 | 1.7984e-05 | 0.5966 | N/A | N/A |
+| 195000 | 1.926 | 1.7901e-05 | 0.5838 | N/A | N/A |
+| 195500 | 1.931 | 1.7819e-05 | 0.5977 | N/A | N/A |
+| 196000 | 1.936 | 1.7737e-05 | 0.5904 | N/A | N/A |
+| 196500 | 1.941 | 1.7654e-05 | 0.5955 | N/A | N/A |
+| 197000 | 1.946 | 1.7572e-05 | 0.5644 | N/A | N/A |
+| 197500 | 1.951 | 1.7490e-05 | 0.5775 | N/A | N/A |
+| 198000 | 1.956 | 1.7408e-05 | 0.6117 | N/A | N/A |
+| 198500 | 1.96 | 1.7325e-05 | 0.6243 | N/A | N/A |
+| 199000 | 1.965 | 1.7243e-05 | 0.5728 | N/A | N/A |
+| 199500 | 1.97 | 1.7161e-05 | 0.5945 | N/A | N/A |
+| 200000 | 1.975 | 1.7078e-05 | 0.5859 | N/A | N/A |
+| 200500 | 1.98 | 1.6996e-05 | 0.5946 | N/A | N/A |
+| 201000 | 1.985 | 1.6914e-05 | 0.5953 | N/A | N/A |
+| 201500 | 1.99 | 1.6831e-05 | 0.6115 | N/A | N/A |
+| 202000 | 1.995 | 1.6749e-05 | 0.585 | N/A | N/A |
+| 202500 | 2.0 | 1.6667e-05 | 0.6058 | 0.4807 | 0.8362 |
+| 203000 | 2.005 | 1.6585e-05 | 0.5321 | N/A | N/A |
+| 203500 | 2.01 | 1.6502e-05 | 0.5359 | N/A | N/A |
+| 204000 | 2.015 | 1.6420e-05 | 0.5256 | N/A | N/A |
+| 204500 | 2.02 | 1.6338e-05 | 0.5373 | N/A | N/A |
+| 205000 | 2.025 | 1.6255e-05 | 0.5254 | N/A | N/A |
+| 205500 | 2.03 | 1.6173e-05 | 0.5367 | N/A | N/A |
+| 206000 | 2.035 | 1.6091e-05 | 0.5362 | N/A | N/A |
+| 206500 | 2.04 | 1.6008e-05 | 0.5338 | N/A | N/A |
+| 207000 | 2.044 | 1.5926e-05 | 0.5627 | N/A | N/A |
+| 207500 | 2.049 | 1.5844e-05 | 0.5044 | N/A | N/A |
+| 208000 | 2.054 | 1.5761e-05 | 0.5361 | N/A | N/A |
+| 208500 | 2.059 | 1.5679e-05 | 0.5272 | N/A | N/A |
+| 209000 | 2.064 | 1.5597e-05 | 0.556 | N/A | N/A |
+| 209500 | 2.069 | 1.5515e-05 | 0.5436 | N/A | N/A |
+| 210000 | 2.074 | 1.5432e-05 | 0.5048 | N/A | N/A |
+| 210500 | 2.079 | 1.5350e-05 | 0.5237 | N/A | N/A |
+| 211000 | 2.084 | 1.5268e-05 | 0.5304 | N/A | N/A |
+| 211500 | 2.089 | 1.5185e-05 | 0.5046 | N/A | N/A |
+| 212000 | 2.094 | 1.5103e-05 | 0.5192 | N/A | N/A |
+| 212500 | 2.099 | 1.5021e-05 | 0.521 | N/A | N/A |
+| 213000 | 2.104 | 1.4938e-05 | 0.5248 | N/A | N/A |
+| 213500 | 2.109 | 1.4856e-05 | 0.5204 | N/A | N/A |
+| 214000 | 2.114 | 1.4774e-05 | 0.5423 | N/A | N/A |
+| 214500 | 2.119 | 1.4692e-05 | 0.5184 | N/A | N/A |
+| 215000 | 2.123 | 1.4609e-05 | 0.5305 | N/A | N/A |
+| 215500 | 2.128 | 1.4527e-05 | 0.5223 | N/A | N/A |
+| 216000 | 2.133 | 1.4445e-05 | 0.5413 | N/A | N/A |
+| 216500 | 2.138 | 1.4362e-05 | 0.5197 | N/A | N/A |
+| 217000 | 2.143 | 1.4280e-05 | 0.5243 | N/A | N/A |
+| 217500 | 2.148 | 1.4198e-05 | 0.537 | N/A | N/A |
+| 218000 | 2.153 | 1.4115e-05 | 0.5141 | N/A | N/A |
+| 218500 | 2.158 | 1.4033e-05 | 0.524 | N/A | N/A |
+| 219000 | 2.163 | 1.3951e-05 | 0.5288 | N/A | N/A |
+| 219500 | 2.168 | 1.3868e-05 | 0.527 | N/A | N/A |
+| 220000 | 2.173 | 1.3786e-05 | 0.5218 | N/A | N/A |
+| 220500 | 2.178 | 1.3704e-05 | 0.5165 | N/A | N/A |
+| 221000 | 2.183 | 1.3622e-05 | 0.5334 | N/A | N/A |
+| 221500 | 2.188 | 1.3539e-05 | 0.5333 | N/A | N/A |
+| 222000 | 2.193 | 1.3457e-05 | 0.531 | N/A | N/A |
+| 222500 | 2.198 | 1.3375e-05 | 0.5255 | N/A | N/A |
+| 223000 | 2.202 | 1.3292e-05 | 0.5187 | N/A | N/A |
+| 223500 | 2.207 | 1.3210e-05 | 0.5429 | N/A | N/A |
+| 224000 | 2.212 | 1.3128e-05 | 0.5203 | N/A | N/A |
+| 224500 | 2.217 | 1.3045e-05 | 0.5193 | N/A | N/A |
+| 225000 | 2.222 | 1.2963e-05 | 0.5058 | N/A | N/A |
+| 225500 | 2.227 | 1.2881e-05 | 0.521 | N/A | N/A |
+| 226000 | 2.232 | 1.2799e-05 | 0.5398 | N/A | N/A |
+| 226500 | 2.237 | 1.2716e-05 | 0.5431 | N/A | N/A |
+| 227000 | 2.242 | 1.2634e-05 | 0.5343 | N/A | N/A |
+| 227500 | 2.247 | 1.2552e-05 | 0.5372 | N/A | N/A |
+| 228000 | 2.252 | 1.2469e-05 | 0.5293 | N/A | N/A |
+| 228500 | 2.257 | 1.2387e-05 | 0.5211 | N/A | N/A |
+| 229000 | 2.262 | 1.2305e-05 | 0.5361 | N/A | N/A |
+| 229500 | 2.267 | 1.2222e-05 | 0.5192 | N/A | N/A |
+| 230000 | 2.272 | 1.2140e-05 | 0.5351 | N/A | N/A |
+| 230500 | 2.277 | 1.2058e-05 | 0.5272 | N/A | N/A |
+| 231000 | 2.281 | 1.1975e-05 | 0.5323 | N/A | N/A |
+| 231500 | 2.286 | 1.1893e-05 | 0.5284 | N/A | N/A |
+| 232000 | 2.291 | 1.1811e-05 | 0.5257 | N/A | N/A |
+| 232500 | 2.296 | 1.1729e-05 | 0.5068 | N/A | N/A |
+| 233000 | 2.301 | 1.1646e-05 | 0.5319 | N/A | N/A |
+| 233500 | 2.306 | 1.1564e-05 | 0.5472 | N/A | N/A |
+| 234000 | 2.311 | 1.1482e-05 | 0.5141 | N/A | N/A |
+| 234500 | 2.316 | 1.1399e-05 | 0.5285 | N/A | N/A |
+| 235000 | 2.321 | 1.1317e-05 | 0.5432 | N/A | N/A |
+| 235500 | 2.326 | 1.1235e-05 | 0.5183 | N/A | N/A |
+| 236000 | 2.331 | 1.1152e-05 | 0.4986 | N/A | N/A |
+| 236500 | 2.336 | 1.1070e-05 | 0.5235 | N/A | N/A |
+| 237000 | 2.341 | 1.0988e-05 | 0.524 | N/A | N/A |
+| 237500 | 2.346 | 1.0906e-05 | 0.5117 | N/A | N/A |
+| 238000 | 2.351 | 1.0823e-05 | 0.5453 | N/A | N/A |
+| 238500 | 2.356 | 1.0741e-05 | 0.5379 | N/A | N/A |
+| 239000 | 2.36 | 1.0659e-05 | 0.5251 | N/A | N/A |
+| 239500 | 2.365 | 1.0576e-05 | 0.5263 | N/A | N/A |
+| 240000 | 2.37 | 1.0494e-05 | 0.5053 | N/A | N/A |
+| 240500 | 2.375 | 1.0412e-05 | 0.518 | N/A | N/A |
+| 241000 | 2.38 | 1.0329e-05 | 0.513 | N/A | N/A |
+| 241500 | 2.385 | 1.0247e-05 | 0.5151 | N/A | N/A |
+| 242000 | 2.39 | 1.0165e-05 | 0.5202 | N/A | N/A |
+| 242500 | 2.395 | 1.0082e-05 | 0.5098 | N/A | N/A |
+| 243000 | 2.4 | 1.0000e-05 | 0.5087 | N/A | N/A |
+| 243500 | 2.405 | 9.9179e-06 | 0.5361 | N/A | N/A |
+| 244000 | 2.41 | 9.8356e-06 | 0.5318 | N/A | N/A |
+| 244500 | 2.415 | 9.7533e-06 | 0.5258 | N/A | N/A |
+| 245000 | 2.42 | 9.6709e-06 | 0.5463 | N/A | N/A |
+| 245500 | 2.425 | 9.5886e-06 | 0.5232 | N/A | N/A |
+| 246000 | 2.43 | 9.5063e-06 | 0.5441 | N/A | N/A |
+| 246500 | 2.435 | 9.4240e-06 | 0.5072 | N/A | N/A |
+| 247000 | 2.44 | 9.3417e-06 | 0.5286 | N/A | N/A |
+| 247500 | 2.444 | 9.2594e-06 | 0.5294 | N/A | N/A |
+| 248000 | 2.449 | 9.1771e-06 | 0.545 | N/A | N/A |
+| 248500 | 2.454 | 9.0948e-06 | 0.5209 | N/A | N/A |
+| 249000 | 2.459 | 9.0125e-06 | 0.5279 | N/A | N/A |
+| 249500 | 2.464 | 8.9302e-06 | 0.5503 | N/A | N/A |
+| 250000 | 2.469 | 8.8479e-06 | 0.5199 | N/A | N/A |
+| 250500 | 2.474 | 8.7656e-06 | 0.514 | N/A | N/A |
+| 251000 | 2.479 | 8.6833e-06 | 0.5308 | N/A | N/A |
+| 251500 | 2.484 | 8.6010e-06 | 0.5312 | N/A | N/A |
+| 252000 | 2.489 | 8.5187e-06 | 0.5063 | N/A | N/A |
+| 252500 | 2.494 | 8.4364e-06 | 0.543 | N/A | N/A |
+| 253000 | 2.499 | 8.3541e-06 | 0.5307 | N/A | N/A |
+| 253500 | 2.504 | 8.2718e-06 | 0.5125 | N/A | N/A |
+| 254000 | 2.509 | 8.1895e-06 | 0.5276 | N/A | N/A |
+| 254500 | 2.514 | 8.1072e-06 | 0.5252 | N/A | N/A |
+| 255000 | 2.519 | 8.0249e-06 | 0.5282 | N/A | N/A |
+| 255500 | 2.523 | 7.9426e-06 | 0.5138 | N/A | N/A |
+| 256000 | 2.528 | 7.8602e-06 | 0.5273 | N/A | N/A |
+| 256500 | 2.533 | 7.7779e-06 | 0.499 | N/A | N/A |
+| 257000 | 2.538 | 7.6956e-06 | 0.5294 | N/A | N/A |
+| 257500 | 2.543 | 7.6133e-06 | 0.5271 | N/A | N/A |
+| 258000 | 2.548 | 7.5310e-06 | 0.5221 | N/A | N/A |
+| 258500 | 2.553 | 7.4487e-06 | 0.5193 | N/A | N/A |
+| 259000 | 2.558 | 7.3664e-06 | 0.5123 | N/A | N/A |
+| 259500 | 2.563 | 7.2841e-06 | 0.5095 | N/A | N/A |
+| 260000 | 2.568 | 7.2018e-06 | 0.5194 | N/A | N/A |
+| 260500 | 2.573 | 7.1195e-06 | 0.5337 | N/A | N/A |
+| 261000 | 2.578 | 7.0372e-06 | 0.5056 | N/A | N/A |
+| 261500 | 2.583 | 6.9549e-06 | 0.534 | N/A | N/A |
+| 262000 | 2.588 | 6.8726e-06 | 0.4919 | N/A | N/A |
+| 262500 | 2.593 | 6.7903e-06 | 0.5115 | N/A | N/A |
+| 263000 | 2.598 | 6.7080e-06 | 0.531 | N/A | N/A |
+| 263500 | 2.602 | 6.6257e-06 | 0.4953 | N/A | N/A |
+| 264000 | 2.607 | 6.5434e-06 | 0.4827 | N/A | N/A |
+| 264500 | 2.612 | 6.4611e-06 | 0.5211 | N/A | N/A |
+| 265000 | 2.617 | 6.3788e-06 | 0.5287 | N/A | N/A |
+| 265500 | 2.622 | 6.2965e-06 | 0.4973 | N/A | N/A |
+| 266000 | 2.627 | 6.2142e-06 | 0.5031 | N/A | N/A |
+| 266500 | 2.632 | 6.1319e-06 | 0.5116 | N/A | N/A |
+| 267000 | 2.637 | 6.0495e-06 | 0.5183 | N/A | N/A |
+| 267500 | 2.642 | 5.9672e-06 | 0.5173 | N/A | N/A |
+| 268000 | 2.647 | 5.8849e-06 | 0.5416 | N/A | N/A |
+| 268500 | 2.652 | 5.8026e-06 | 0.5282 | N/A | N/A |
+| 269000 | 2.657 | 5.7203e-06 | 0.5055 | N/A | N/A |
+| 269500 | 2.662 | 5.6380e-06 | 0.5206 | N/A | N/A |
+| 270000 | 2.667 | 5.5557e-06 | 0.5033 | N/A | N/A |
+| 270500 | 2.672 | 5.4734e-06 | 0.504 | N/A | N/A |
+| 271000 | 2.677 | 5.3911e-06 | 0.5103 | N/A | N/A |
+| 271500 | 2.681 | 5.3088e-06 | 0.5102 | N/A | N/A |
+| 272000 | 2.686 | 5.2265e-06 | 0.524 | N/A | N/A |
+| 272500 | 2.691 | 5.1442e-06 | 0.4931 | N/A | N/A |
+| 273000 | 2.696 | 5.0619e-06 | 0.5137 | N/A | N/A |
+| 273500 | 2.701 | 4.9796e-06 | 0.533 | N/A | N/A |
+| 274000 | 2.706 | 4.8973e-06 | 0.5104 | N/A | N/A |
+| 274500 | 2.711 | 4.8150e-06 | 0.5243 | N/A | N/A |
+| 275000 | 2.716 | 4.7327e-06 | 0.5037 | N/A | N/A |
+| 275500 | 2.721 | 4.6504e-06 | 0.5316 | N/A | N/A |
+| 276000 | 2.726 | 4.5681e-06 | 0.5052 | N/A | N/A |
+| 276500 | 2.731 | 4.4858e-06 | 0.486 | N/A | N/A |
+| 277000 | 2.736 | 4.4035e-06 | 0.4952 | N/A | N/A |
+| 277500 | 2.741 | 4.3212e-06 | 0.5084 | N/A | N/A |
+| 278000 | 2.746 | 4.2388e-06 | 0.5231 | N/A | N/A |
+| 278500 | 2.751 | 4.1565e-06 | 0.5152 | N/A | N/A |
+| 279000 | 2.756 | 4.0742e-06 | 0.4985 | N/A | N/A |
+| 279500 | 2.76 | 3.9919e-06 | 0.4874 | N/A | N/A |
+| 280000 | 2.765 | 3.9096e-06 | 0.4997 | N/A | N/A |
+| 280500 | 2.77 | 3.8273e-06 | 0.5011 | N/A | N/A |
+| 281000 | 2.775 | 3.7450e-06 | 0.5134 | N/A | N/A |
+| 281500 | 2.78 | 3.6627e-06 | 0.5253 | N/A | N/A |
+| 282000 | 2.785 | 3.5804e-06 | 0.5013 | N/A | N/A |
+| 282500 | 2.79 | 3.4981e-06 | 0.511 | N/A | N/A |
+| 283000 | 2.795 | 3.4158e-06 | 0.4978 | N/A | N/A |
+| 283500 | 2.8 | 3.3335e-06 | 0.4852 | N/A | N/A |
+| 284000 | 2.805 | 3.2512e-06 | 0.5095 | N/A | N/A |
+| 284500 | 2.81 | 3.1689e-06 | 0.5117 | N/A | N/A |
+| 285000 | 2.815 | 3.0866e-06 | 0.5053 | N/A | N/A |
+| 285500 | 2.82 | 3.0043e-06 | 0.5065 | N/A | N/A |
+| 286000 | 2.825 | 2.9220e-06 | 0.518 | N/A | N/A |
+| 286500 | 2.83 | 2.8397e-06 | 0.4985 | N/A | N/A |
+| 287000 | 2.835 | 2.7574e-06 | 0.5116 | N/A | N/A |
+| 287500 | 2.84 | 2.6751e-06 | 0.5212 | N/A | N/A |
+| 288000 | 2.844 | 2.5928e-06 | 0.5157 | N/A | N/A |
+| 288500 | 2.849 | 2.5105e-06 | 0.5193 | N/A | N/A |
+| 289000 | 2.854 | 2.4281e-06 | 0.5089 | N/A | N/A |
+| 289500 | 2.859 | 2.3458e-06 | 0.5202 | N/A | N/A |
+| 290000 | 2.864 | 2.2635e-06 | 0.4857 | N/A | N/A |
+| 290500 | 2.869 | 2.1812e-06 | 0.505 | N/A | N/A |
+| 291000 | 2.874 | 2.0989e-06 | 0.5186 | N/A | N/A |
+| 291500 | 2.879 | 2.0166e-06 | 0.4877 | N/A | N/A |
+| 292000 | 2.884 | 1.9343e-06 | 0.5123 | N/A | N/A |
+| 292500 | 2.889 | 1.8520e-06 | 0.5131 | N/A | N/A |
+| 293000 | 2.894 | 1.7697e-06 | 0.4666 | N/A | N/A |
+| 293500 | 2.899 | 1.6874e-06 | 0.5215 | N/A | N/A |
+| 294000 | 2.904 | 1.6051e-06 | 0.4851 | N/A | N/A |
+| 294500 | 2.909 | 1.5228e-06 | 0.5013 | N/A | N/A |
+| 295000 | 2.914 | 1.4405e-06 | 0.5126 | N/A | N/A |
+| 295500 | 2.919 | 1.3582e-06 | 0.4535 | N/A | N/A |
+| 296000 | 2.923 | 1.2759e-06 | 0.5224 | N/A | N/A |
+| 296500 | 2.928 | 1.1936e-06 | 0.5007 | N/A | N/A |
+| 297000 | 2.933 | 1.1113e-06 | 0.5138 | N/A | N/A |
+| 297500 | 2.938 | 1.0290e-06 | 0.495 | N/A | N/A |
+| 298000 | 2.943 | 9.4667e-07 | 0.5123 | N/A | N/A |
+| 298500 | 2.948 | 8.6436e-07 | 0.4951 | N/A | N/A |
+| 299000 | 2.953 | 7.8206e-07 | 0.5181 | N/A | N/A |
+| 299500 | 2.958 | 6.9975e-07 | 0.4822 | N/A | N/A |
+| 300000 | 2.963 | 6.1745e-07 | 0.512 | N/A | N/A |
+| 300500 | 2.968 | 5.3514e-07 | 0.5178 | N/A | N/A |
+| 301000 | 2.973 | 4.5284e-07 | 0.4748 | N/A | N/A |
+| 301500 | 2.978 | 3.7053e-07 | 0.5292 | N/A | N/A |
+| 302000 | 2.983 | 2.8823e-07 | 0.5186 | N/A | N/A |
+| 302500 | 2.988 | 2.0593e-07 | 0.5017 | N/A | N/A |
+| 303000 | 2.993 | 1.2362e-07 | 0.4988 | N/A | N/A |
+| 303500 | 2.998 | 4.1317e-08 | 0.5107 | N/A | N/A |
+| 303750 | 3.0 | N/A | N/A | 0.4999 | 0.8389 |
+
+</details>
+
+
+## Framework Versions
+
+- **Transformers:** 5.0.0.dev0
+- **PyTorch:** 2.9.1+cu128

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_f1": 0.8389043276677784,
+    "eval_loss": 0.4998643100261688,
+    "eval_runtime": 24.8749,
+    "eval_samples": 45000,
+    "eval_samples_per_second": 1809.051,
+    "eval_steps_per_second": 226.131,
+    "total_flos": 4.002127605504e+16,
+    "train_loss": 0.6374646599914802,
+    "train_runtime": 5003.7568,
+    "train_samples": 810000,
+    "train_samples_per_second": 485.635,
+    "train_steps_per_second": 60.704
+}

config.json

@@ -0,0 +1,44 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "finetuning_task": "text-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "AFRICA",
+    "1": "ANZ",
+    "2": "NORTH_AMERICA",
+    "3": "OTHER",
+    "4": "SOUTHEAST_ASIA",
+    "5": "SOUTH_ASIA",
+    "6": "UK_IRELAND"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "AFRICA": 0,
+    "ANZ": 1,
+    "NORTH_AMERICA": 2,
+    "OTHER": 3,
+    "SOUTHEAST_ASIA": 4,
+    "SOUTH_ASIA": 5,
+    "UK_IRELAND": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "5.0.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 30522
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_f1": 0.8389043276677784,
+    "eval_loss": 0.4998643100261688,
+    "eval_runtime": 24.8749,
+    "eval_samples": 45000,
+    "eval_samples_per_second": 1809.051,
+    "eval_steps_per_second": 226.131
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e40a10f7bb28bc1e53d3f226ee1c85e906dd75dd146bc15842167cd98be6005
+size 133474076

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,58 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 4.002127605504e+16,
+    "train_loss": 0.6374646599914802,
+    "train_runtime": 5003.7568,
+    "train_samples": 810000,
+    "train_samples_per_second": 485.635,
+    "train_steps_per_second": 60.704
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33e5b6f34d982ce00de7b5c8a49feb0cebf382a14bb8b4023e0ed32b0c66d25c
+size 5201