---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter4_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_iter4_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: 2.1659
- Num Input Tokens Seen: 7948024

## 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                 |
| 1.5632        | 0.0316 | 5    | 1.3061          | 246640            |
| 1.3817        | 0.0632 | 10   | 1.2228          | 494576            |
| 1.0035        | 0.0947 | 15   | 1.2471          | 744584            |
| 0.6544        | 0.1263 | 20   | 1.4073          | 997672            |
| 0.4776        | 0.1579 | 25   | 1.5377          | 1254560           |
| 0.3655        | 0.1895 | 30   | 1.6643          | 1501936           |
| 0.2114        | 0.2211 | 35   | 1.8147          | 1753752           |
| 0.1432        | 0.2527 | 40   | 2.0060          | 2004664           |
| 0.0971        | 0.2842 | 45   | 2.1422          | 2255696           |
| 0.0583        | 0.3158 | 50   | 2.1872          | 2503680           |
| 0.0617        | 0.3474 | 55   | 2.2333          | 2752312           |
| 0.0418        | 0.3790 | 60   | 2.2179          | 3014008           |
| 0.0354        | 0.4106 | 65   | 2.2580          | 3272640           |
| 0.0341        | 0.4422 | 70   | 2.3017          | 3531768           |
| 0.0365        | 0.4737 | 75   | 2.3306          | 3783288           |
| 0.0388        | 0.5053 | 80   | 2.3409          | 4030184           |
| 0.0293        | 0.5369 | 85   | 2.3008          | 4283032           |
| 0.0542        | 0.5685 | 90   | 2.2747          | 4542640           |
| 0.0333        | 0.6001 | 95   | 2.2006          | 4797104           |
| 0.0314        | 0.6317 | 100  | 2.1578          | 5049888           |
| 0.0504        | 0.6632 | 105  | 2.1483          | 5293872           |
| 0.0344        | 0.6948 | 110  | 2.1589          | 5538240           |
| 0.0277        | 0.7264 | 115  | 2.1630          | 5793368           |
| 0.0281        | 0.7580 | 120  | 2.1890          | 6044800           |
| 0.0289        | 0.7896 | 125  | 2.2083          | 6302168           |
| 0.0336        | 0.8212 | 130  | 2.2451          | 6546744           |
| 0.0442        | 0.8527 | 135  | 2.2112          | 6795368           |
| 0.0292        | 0.8843 | 140  | 2.1838          | 7042064           |
| 0.036         | 0.9159 | 145  | 2.2140          | 7291040           |
| 0.0295        | 0.9475 | 150  | 2.2179          | 7545048           |
| 0.0291        | 0.9791 | 155  | 2.1915          | 7794264           |


### Framework versions

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