---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter4_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_iter4_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: 1.4399
- Num Input Tokens Seen: 4608700

## 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                 |
| 1.1171        | 0.0513 | 5    | 1.0875          | 234588            |
| 0.4281        | 0.1027 | 10   | 1.1673          | 469864            |
| 0.2498        | 0.1540 | 15   | 1.2896          | 699712            |
| 0.0779        | 0.2053 | 20   | 1.4259          | 938672            |
| 0.0482        | 0.2567 | 25   | 1.4626          | 1174704           |
| 0.0303        | 0.3080 | 30   | 1.5081          | 1413368           |
| 0.0276        | 0.3593 | 35   | 1.5372          | 1650736           |
| 0.032         | 0.4107 | 40   | 1.5854          | 1894804           |
| 0.0487        | 0.4620 | 45   | 1.4725          | 2125240           |
| 0.0235        | 0.5133 | 50   | 1.3449          | 2366084           |
| 0.024         | 0.5646 | 55   | 1.3595          | 2599380           |
| 0.0215        | 0.6160 | 60   | 1.3704          | 2841524           |
| 0.0211        | 0.6673 | 65   | 1.3511          | 3082136           |
| 0.0216        | 0.7186 | 70   | 1.3608          | 3324972           |
| 0.0241        | 0.7700 | 75   | 1.3791          | 3562804           |
| 0.0273        | 0.8213 | 80   | 1.3841          | 3798412           |
| 0.023         | 0.8726 | 85   | 1.4029          | 4033440           |
| 0.0213        | 0.9240 | 90   | 1.4191          | 4267912           |
| 0.0215        | 0.9753 | 95   | 1.4333          | 4514044           |


### Framework versions

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