End of training

README.md

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+---
+license: apache-2.0
+base_model: funnel-transformer/intermediate-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: NLPGroupProject-Finetune-Funnel-Transformer
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# NLPGroupProject-Finetune-Funnel-Transformer
+
+This model is a fine-tuned version of [funnel-transformer/intermediate-base](https://huggingface.co/funnel-transformer/intermediate-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3863
+- Accuracy: 0.263
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4073        | 0.25  | 500  | 1.3863          | 0.262    |
+| 1.403         | 0.5   | 1000 | 1.3863          | 0.275    |
+| 1.4031        | 0.75  | 1500 | 1.3863          | 0.263    |
+| 1.4035        | 1.0   | 2000 | 1.3863          | 0.259    |
+| 1.3984        | 1.25  | 2500 | 1.3863          | 0.283    |
+| 1.3904        | 1.5   | 3000 | 1.3863          | 0.263    |
+| 1.3977        | 1.75  | 3500 | 1.3863          | 0.252    |
+| 1.3949        | 2.0   | 4000 | 1.3863          | 0.272    |
+| 1.3979        | 2.25  | 4500 | 1.3863          | 0.258    |
+| 1.3965        | 2.5   | 5000 | 1.3863          | 0.225    |
+| 1.3944        | 2.75  | 5500 | 1.3863          | 0.246    |
+| 1.3999        | 3.0   | 6000 | 1.3863          | 0.263    |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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