---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter12_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_iter12_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: 2.6137
- Num Input Tokens Seen: 4692640

## 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                 |
| 1.4164        | 0.0511 | 5    | 1.2765          | 248104            |
| 0.942         | 0.1021 | 10   | 1.2582          | 482960            |
| 0.5589        | 0.1532 | 15   | 1.4596          | 727376            |
| 0.3508        | 0.2042 | 20   | 1.6556          | 975432            |
| 0.1903        | 0.2553 | 25   | 1.8531          | 1215984           |
| 0.0848        | 0.3063 | 30   | 2.1690          | 1455400           |
| 0.0438        | 0.3574 | 35   | 2.3138          | 1697704           |
| 0.0314        | 0.4084 | 40   | 2.4183          | 1942680           |
| 0.0274        | 0.4595 | 45   | 2.4952          | 2183992           |
| 0.026         | 0.5105 | 50   | 2.5004          | 2424896           |
| 0.0256        | 0.5616 | 55   | 2.5534          | 2673496           |
| 0.0219        | 0.6126 | 60   | 2.5495          | 2911280           |
| 0.0228        | 0.6637 | 65   | 2.5383          | 3151984           |
| 0.0219        | 0.7147 | 70   | 2.5423          | 3401680           |
| 0.0211        | 0.7658 | 75   | 2.5687          | 3640496           |
| 0.022         | 0.8168 | 80   | 2.5789          | 3884360           |
| 0.0216        | 0.8679 | 85   | 2.5962          | 4127864           |
| 0.0223        | 0.9190 | 90   | 2.6077          | 4361768           |
| 0.0218        | 0.9700 | 95   | 2.6126          | 4595248           |


### Framework versions

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