---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter4_sftsd0
  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. -->

# collapse_gemma-2-2b_hs2_replace_iter4_sftsd0

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1872
- Num Input Tokens Seen: 8213360

## 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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3956          | 0                 |
| 1.5456        | 0.0318 | 5    | 1.3070          | 265304            |
| 1.2703        | 0.0636 | 10   | 1.2218          | 523568            |
| 0.9657        | 0.0954 | 15   | 1.2481          | 782936            |
| 0.6809        | 0.1271 | 20   | 1.3512          | 1047016           |
| 0.5361        | 0.1589 | 25   | 1.4749          | 1317216           |
| 0.3923        | 0.1907 | 30   | 1.5943          | 1576968           |
| 0.2609        | 0.2225 | 35   | 1.7244          | 1835720           |
| 0.1476        | 0.2543 | 40   | 1.9387          | 2096288           |
| 0.0973        | 0.2861 | 45   | 2.0971          | 2356272           |
| 0.1096        | 0.3178 | 50   | 2.1618          | 2620648           |
| 0.0651        | 0.3496 | 55   | 2.1722          | 2877880           |
| 0.0528        | 0.3814 | 60   | 2.1908          | 3133480           |
| 0.0455        | 0.4132 | 65   | 2.2489          | 3397968           |
| 0.0474        | 0.4450 | 70   | 2.2538          | 3659672           |
| 0.0919        | 0.4768 | 75   | 2.2320          | 3919344           |
| 0.0311        | 0.5085 | 80   | 2.1670          | 4187912           |
| 0.0319        | 0.5403 | 85   | 2.2046          | 4447608           |
| 0.0278        | 0.5721 | 90   | 2.2165          | 4705488           |
| 0.0284        | 0.6039 | 95   | 2.2048          | 4979080           |
| 0.0549        | 0.6357 | 100  | 2.1651          | 5237472           |
| 0.0319        | 0.6675 | 105  | 2.1267          | 5496736           |
| 0.0304        | 0.6992 | 110  | 2.1044          | 5759232           |
| 0.0274        | 0.7310 | 115  | 2.0821          | 6021968           |
| 0.0307        | 0.7628 | 120  | 2.0860          | 6280048           |
| 0.0297        | 0.7946 | 125  | 2.1247          | 6547056           |
| 0.0283        | 0.8264 | 130  | 2.1514          | 6801816           |
| 0.0295        | 0.8582 | 135  | 2.1703          | 7057840           |
| 0.0326        | 0.8899 | 140  | 2.1964          | 7323848           |
| 0.0283        | 0.9217 | 145  | 2.1959          | 7580872           |
| 0.0439        | 0.9535 | 150  | 2.1948          | 7845552           |
| 0.0282        | 0.9853 | 155  | 2.1853          | 8107432           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1