---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter5_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-2-9b_hs2_replace_iter5_sftsd1

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6182
- Num Input Tokens Seen: 4642096

## 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: 4
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 32
- 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    | 1.2335          | 0                 |
| 1.1356        | 0.0513 | 5    | 1.0985          | 236640            |
| 0.5158        | 0.1027 | 10   | 1.1915          | 478096            |
| 0.1867        | 0.1540 | 15   | 1.3803          | 713224            |
| 0.0692        | 0.2053 | 20   | 1.4815          | 950388            |
| 0.0275        | 0.2567 | 25   | 1.3822          | 1195036           |
| 0.0254        | 0.3080 | 30   | 1.4820          | 1434668           |
| 0.0248        | 0.3593 | 35   | 1.5498          | 1669304           |
| 0.0226        | 0.4107 | 40   | 1.5781          | 1908432           |
| 0.0247        | 0.4620 | 45   | 1.5221          | 2150908           |
| 0.0224        | 0.5133 | 50   | 1.4731          | 2397208           |
| 0.0289        | 0.5646 | 55   | 1.4650          | 2634352           |
| 0.0217        | 0.6160 | 60   | 1.4817          | 2867608           |
| 0.0255        | 0.6673 | 65   | 1.5039          | 3114572           |
| 0.0207        | 0.7186 | 70   | 1.5013          | 3357172           |
| 0.0214        | 0.7700 | 75   | 1.4934          | 3593844           |
| 0.0231        | 0.8213 | 80   | 1.5160          | 3833908           |
| 0.0205        | 0.8726 | 85   | 1.5363          | 4071676           |
| 0.0219        | 0.9240 | 90   | 1.5761          | 4314868           |
| 0.0244        | 0.9753 | 95   | 1.6040          | 4546468           |


### Framework versions

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