---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_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_iter7_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: 2.5277
- Num Input Tokens Seen: 7940992

## 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                 |
| 1.5364        | 0.0316 | 5    | 1.3068          | 253784            |
| 1.1259        | 0.0632 | 10   | 1.2465          | 510904            |
| 0.6887        | 0.0947 | 15   | 1.3550          | 769904            |
| 0.5128        | 0.1263 | 20   | 1.5270          | 1016400           |
| 0.3194        | 0.1579 | 25   | 1.6846          | 1268560           |
| 0.1918        | 0.1895 | 30   | 1.8390          | 1517032           |
| 0.1256        | 0.2211 | 35   | 2.0239          | 1770608           |
| 0.0896        | 0.2527 | 40   | 2.2047          | 2023392           |
| 0.0555        | 0.2842 | 45   | 2.3706          | 2273832           |
| 0.0402        | 0.3158 | 50   | 2.4122          | 2529912           |
| 0.0338        | 0.3474 | 55   | 2.4354          | 2783520           |
| 0.0345        | 0.3790 | 60   | 2.3862          | 3030728           |
| 0.0281        | 0.4106 | 65   | 2.4360          | 3277464           |
| 0.0285        | 0.4422 | 70   | 2.4702          | 3520992           |
| 0.0296        | 0.4737 | 75   | 2.4709          | 3770984           |
| 0.0284        | 0.5053 | 80   | 2.5290          | 4026776           |
| 0.0254        | 0.5369 | 85   | 2.5619          | 4275136           |
| 0.0288        | 0.5685 | 90   | 2.5185          | 4524936           |
| 0.026         | 0.6001 | 95   | 2.4887          | 4781848           |
| 0.0265        | 0.6317 | 100  | 2.4976          | 5021704           |
| 0.0254        | 0.6632 | 105  | 2.4820          | 5274368           |
| 0.0322        | 0.6948 | 110  | 2.4803          | 5529272           |
| 0.0308        | 0.7264 | 115  | 2.4894          | 5783496           |
| 0.0263        | 0.7580 | 120  | 2.5027          | 6034168           |
| 0.0254        | 0.7896 | 125  | 2.4805          | 6291808           |
| 0.0263        | 0.8212 | 130  | 2.4729          | 6544088           |
| 0.0335        | 0.8527 | 135  | 2.4893          | 6791616           |
| 0.0264        | 0.8843 | 140  | 2.5056          | 7045456           |
| 0.0251        | 0.9159 | 145  | 2.5100          | 7294288           |
| 0.0245        | 0.9475 | 150  | 2.5167          | 7548384           |
| 0.0277        | 0.9791 | 155  | 2.5252          | 7791720           |


### Framework versions

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