---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter9_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_iter9_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: 2.6415
- Num Input Tokens Seen: 7914176

## 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                 |
| 1.6327        | 0.0315 | 5    | 1.3089          | 247632            |
| 1.1975        | 0.0630 | 10   | 1.2561          | 504648            |
| 0.7639        | 0.0945 | 15   | 1.3571          | 747296            |
| 0.513         | 0.1259 | 20   | 1.5568          | 1008344           |
| 0.3238        | 0.1574 | 25   | 1.6800          | 1260640           |
| 0.1575        | 0.1889 | 30   | 1.8364          | 1510496           |
| 0.1051        | 0.2204 | 35   | 2.0453          | 1761320           |
| 0.0558        | 0.2519 | 40   | 2.1727          | 2016736           |
| 0.0395        | 0.2834 | 45   | 2.3560          | 2261448           |
| 0.0314        | 0.3148 | 50   | 2.4808          | 2507808           |
| 0.0264        | 0.3463 | 55   | 2.5543          | 2762208           |
| 0.0291        | 0.3778 | 60   | 2.5322          | 3006848           |
| 0.0324        | 0.4093 | 65   | 2.5662          | 3253536           |
| 0.0291        | 0.4408 | 70   | 2.6164          | 3500992           |
| 0.0271        | 0.4723 | 75   | 2.6075          | 3746280           |
| 0.0269        | 0.5037 | 80   | 2.5847          | 3999584           |
| 0.0248        | 0.5352 | 85   | 2.5952          | 4246920           |
| 0.0244        | 0.5667 | 90   | 2.6096          | 4503608           |
| 0.0247        | 0.5982 | 95   | 2.6188          | 4754536           |
| 0.0233        | 0.6297 | 100  | 2.6244          | 5005328           |
| 0.0248        | 0.6612 | 105  | 2.6260          | 5255024           |
| 0.0237        | 0.6926 | 110  | 2.6294          | 5501344           |
| 0.0277        | 0.7241 | 115  | 2.6373          | 5757840           |
| 0.0256        | 0.7556 | 120  | 2.6263          | 6010232           |
| 0.0254        | 0.7871 | 125  | 2.6241          | 6256112           |
| 0.0232        | 0.8186 | 130  | 2.6195          | 6504184           |
| 0.0243        | 0.8501 | 135  | 2.6216          | 6755968           |
| 0.0243        | 0.8815 | 140  | 2.6244          | 7006776           |
| 0.0255        | 0.9130 | 145  | 2.6225          | 7262768           |
| 0.0251        | 0.9445 | 150  | 2.6236          | 7515400           |
| 0.0243        | 0.9760 | 155  | 2.6327          | 7765712           |


### Framework versions

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