---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter3_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_iter3_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: 1.3331
- Num Input Tokens Seen: 4572424

## 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                 |
| 1.2166        | 0.0512 | 5    | 1.0814          | 235576            |
| 0.6049        | 0.1023 | 10   | 1.1325          | 478200            |
| 0.2359        | 0.1535 | 15   | 1.2187          | 716416            |
| 0.115         | 0.2046 | 20   | 1.2821          | 943664            |
| 0.0493        | 0.2558 | 25   | 1.3910          | 1179772           |
| 0.0383        | 0.3069 | 30   | 1.3572          | 1412684           |
| 0.0416        | 0.3581 | 35   | 1.3296          | 1649992           |
| 0.0251        | 0.4092 | 40   | 1.2853          | 1888964           |
| 0.0376        | 0.4604 | 45   | 1.2453          | 2120356           |
| 0.0332        | 0.5115 | 50   | 1.2222          | 2357188           |
| 0.034         | 0.5627 | 55   | 1.2430          | 2594152           |
| 0.0258        | 0.6138 | 60   | 1.2519          | 2829660           |
| 0.0319        | 0.6650 | 65   | 1.2651          | 3059288           |
| 0.0302        | 0.7161 | 70   | 1.2408          | 3294592           |
| 0.028         | 0.7673 | 75   | 1.2606          | 3531876           |
| 0.0313        | 0.8184 | 80   | 1.3008          | 3770028           |
| 0.0247        | 0.8696 | 85   | 1.3242          | 4003268           |
| 0.0277        | 0.9207 | 90   | 1.3376          | 4246612           |
| 0.0299        | 0.9719 | 95   | 1.3401          | 4482512           |


### Framework versions

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