---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter9_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_iter9_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: 2.6202
- Num Input Tokens Seen: 4782384

## 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                 |
| 1.4251        | 0.0511 | 5    | 1.2773          | 251936            |
| 1.0412        | 0.1021 | 10   | 1.2473          | 494776            |
| 0.6073        | 0.1532 | 15   | 1.4155          | 739080            |
| 0.4079        | 0.2042 | 20   | 1.6045          | 992504            |
| 0.2094        | 0.2553 | 25   | 1.8387          | 1237192           |
| 0.1016        | 0.3063 | 30   | 2.1297          | 1481728           |
| 0.0516        | 0.3574 | 35   | 2.2672          | 1730840           |
| 0.0373        | 0.4084 | 40   | 2.3948          | 1976944           |
| 0.0293        | 0.4595 | 45   | 2.4808          | 2220288           |
| 0.0264        | 0.5105 | 50   | 2.5189          | 2467184           |
| 0.0285        | 0.5616 | 55   | 2.5581          | 2721304           |
| 0.0236        | 0.6126 | 60   | 2.5681          | 2961768           |
| 0.0228        | 0.6637 | 65   | 2.5784          | 3208208           |
| 0.0235        | 0.7147 | 70   | 2.5833          | 3462120           |
| 0.0239        | 0.7658 | 75   | 2.5890          | 3702984           |
| 0.023         | 0.8168 | 80   | 2.6044          | 3955448           |
| 0.0233        | 0.8679 | 85   | 2.6159          | 4205584           |
| 0.0226        | 0.9190 | 90   | 2.6276          | 4445256           |
| 0.0246        | 0.9700 | 95   | 2.6255          | 4684392           |


### Framework versions

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