---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter6_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_iter6_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: 1.7744
- Num Input Tokens Seen: 4644120

## 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                 |
| 1.0797        | 0.0511 | 5    | 1.0989          | 239060            |
| 0.4157        | 0.1021 | 10   | 1.2189          | 482296            |
| 0.1533        | 0.1532 | 15   | 1.3682          | 725960            |
| 0.0535        | 0.2043 | 20   | 1.5750          | 970144            |
| 0.0404        | 0.2553 | 25   | 1.7656          | 1205100           |
| 0.0218        | 0.3064 | 30   | 1.7967          | 1441880           |
| 0.0255        | 0.3575 | 35   | 1.8400          | 1687112           |
| 0.0221        | 0.4086 | 40   | 1.8623          | 1922136           |
| 0.0281        | 0.4596 | 45   | 1.8183          | 2165352           |
| 0.0228        | 0.5107 | 50   | 1.7449          | 2394656           |
| 0.0213        | 0.5618 | 55   | 1.7163          | 2646384           |
| 0.0224        | 0.6128 | 60   | 1.6743          | 2876716           |
| 0.0203        | 0.6639 | 65   | 1.6927          | 3108204           |
| 0.0266        | 0.7150 | 70   | 1.7124          | 3348808           |
| 0.0213        | 0.7660 | 75   | 1.7250          | 3588504           |
| 0.0205        | 0.8171 | 80   | 1.7315          | 3822104           |
| 0.0213        | 0.8682 | 85   | 1.7380          | 4060428           |
| 0.0215        | 0.9192 | 90   | 1.7523          | 4299016           |
| 0.02          | 0.9703 | 95   | 1.7699          | 4548500           |


### Framework versions

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