---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter20_sftsd0
  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_sftsd0

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: 2.6544
- Num Input Tokens Seen: 4428696

## 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: 0
- 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                 |
| 1.4671        | 0.0511 | 5    | 1.2830          | 227584            |
| 0.7682        | 0.1021 | 10   | 1.3632          | 451744            |
| 0.5053        | 0.1532 | 15   | 1.5394          | 675368            |
| 0.2533        | 0.2042 | 20   | 1.7922          | 904784            |
| 0.0957        | 0.2553 | 25   | 2.1027          | 1123536           |
| 0.0657        | 0.3063 | 30   | 2.3143          | 1353496           |
| 0.0474        | 0.3574 | 35   | 2.4308          | 1584648           |
| 0.0358        | 0.4084 | 40   | 2.5634          | 1807216           |
| 0.0257        | 0.4595 | 45   | 2.5958          | 2031464           |
| 0.0262        | 0.5105 | 50   | 2.6243          | 2259896           |
| 0.0245        | 0.5616 | 55   | 2.6355          | 2487688           |
| 0.0254        | 0.6126 | 60   | 2.6426          | 2718592           |
| 0.0236        | 0.6637 | 65   | 2.6416          | 2951632           |
| 0.0223        | 0.7147 | 70   | 2.6468          | 3170544           |
| 0.0222        | 0.7658 | 75   | 2.6497          | 3407056           |
| 0.023         | 0.8168 | 80   | 2.6480          | 3630328           |
| 0.0235        | 0.8679 | 85   | 2.6395          | 3869752           |
| 0.0237        | 0.9190 | 90   | 2.6398          | 4104432           |
| 0.0227        | 0.9700 | 95   | 2.6538          | 4332320           |


### Framework versions

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