---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_sftsd2
  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_iter6_sftsd2

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: 2.5403
- Num Input Tokens Seen: 8006024

## 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: 2
- 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                 |
| 1.6849        | 0.0315 | 5    | 1.3074          | 251000            |
| 1.118         | 0.0630 | 10   | 1.2395          | 501688            |
| 0.7452        | 0.0945 | 15   | 1.3250          | 754952            |
| 0.6083        | 0.1259 | 20   | 1.4758          | 1008248           |
| 0.3921        | 0.1574 | 25   | 1.6064          | 1265824           |
| 0.259         | 0.1889 | 30   | 1.8043          | 1526472           |
| 0.1544        | 0.2204 | 35   | 1.9984          | 1787752           |
| 0.0991        | 0.2519 | 40   | 2.1525          | 2040120           |
| 0.0448        | 0.2834 | 45   | 2.2692          | 2285400           |
| 0.0467        | 0.3148 | 50   | 2.3345          | 2536824           |
| 0.0435        | 0.3463 | 55   | 2.4326          | 2790040           |
| 0.033         | 0.3778 | 60   | 2.5077          | 3046656           |
| 0.031         | 0.4093 | 65   | 2.5876          | 3295608           |
| 0.0311        | 0.4408 | 70   | 2.5704          | 3545992           |
| 0.0287        | 0.4723 | 75   | 2.5464          | 3802920           |
| 0.0257        | 0.5037 | 80   | 2.5635          | 4056400           |
| 0.0303        | 0.5352 | 85   | 2.5473          | 4310104           |
| 0.0252        | 0.5667 | 90   | 2.5338          | 4566456           |
| 0.0271        | 0.5982 | 95   | 2.5463          | 4822016           |
| 0.0269        | 0.6297 | 100  | 2.5515          | 5074048           |
| 0.0264        | 0.6612 | 105  | 2.5565          | 5332864           |
| 0.0272        | 0.6926 | 110  | 2.5661          | 5586528           |
| 0.025         | 0.7241 | 115  | 2.5334          | 5839624           |
| 0.0264        | 0.7556 | 120  | 2.5193          | 6095336           |
| 0.0252        | 0.7871 | 125  | 2.5051          | 6352376           |
| 0.0243        | 0.8186 | 130  | 2.5119          | 6603584           |
| 0.0281        | 0.8501 | 135  | 2.5157          | 6852952           |
| 0.0261        | 0.8815 | 140  | 2.5087          | 7101856           |
| 0.0255        | 0.9130 | 145  | 2.5109          | 7353304           |
| 0.0253        | 0.9445 | 150  | 2.5341          | 7598048           |
| 0.0262        | 0.9760 | 155  | 2.5437          | 7851000           |


### Framework versions

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