---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter20_sftsd1
  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_iter20_sftsd1

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: 2.5723
- Num Input Tokens Seen: 4374176

## 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: 1
- 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    | 1.3909          | 0                 |
| 1.5743        | 0.0511 | 5    | 1.2784          | 215504            |
| 0.907         | 0.1022 | 10   | 1.2866          | 439552            |
| 0.5039        | 0.1533 | 15   | 1.4995          | 663280            |
| 0.228         | 0.2043 | 20   | 1.6910          | 894464            |
| 0.1115        | 0.2554 | 25   | 1.9651          | 1120880           |
| 0.0589        | 0.3065 | 30   | 2.2089          | 1345936           |
| 0.0504        | 0.3576 | 35   | 2.3215          | 1567848           |
| 0.037         | 0.4087 | 40   | 2.4352          | 1798736           |
| 0.0251        | 0.4598 | 45   | 2.5229          | 2019656           |
| 0.0261        | 0.5109 | 50   | 2.5609          | 2247440           |
| 0.0278        | 0.5619 | 55   | 2.5577          | 2477584           |
| 0.0255        | 0.6130 | 60   | 2.5752          | 2703792           |
| 0.0246        | 0.6641 | 65   | 2.5688          | 2924296           |
| 0.0246        | 0.7152 | 70   | 2.5304          | 3152056           |
| 0.0224        | 0.7663 | 75   | 2.5154          | 3378048           |
| 0.023         | 0.8174 | 80   | 2.5120          | 3605880           |
| 0.0226        | 0.8685 | 85   | 2.5300          | 3834792           |
| 0.0227        | 0.9195 | 90   | 2.5492          | 4065384           |
| 0.0246        | 0.9706 | 95   | 2.5676          | 4281080           |


### Framework versions

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