---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter2_sftsd0
  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_iter2_sftsd0

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: 1.2206
- Num Input Tokens Seen: 4604388

## 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: 0
- 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                 |
| 1.0956        | 0.0544 | 5    | 1.0730          | 251364            |
| 0.7073        | 0.1088 | 10   | 1.0601          | 506644            |
| 0.398         | 0.1632 | 15   | 1.0813          | 756848            |
| 0.2713        | 0.2176 | 20   | 1.1120          | 1009688           |
| 0.1577        | 0.2720 | 25   | 1.1339          | 1263852           |
| 0.1476        | 0.3264 | 30   | 1.1173          | 1518564           |
| 0.1351        | 0.3808 | 35   | 1.1436          | 1773696           |
| 0.0789        | 0.4352 | 40   | 1.1029          | 2023168           |
| 0.1184        | 0.4896 | 45   | 1.1221          | 2280352           |
| 0.1306        | 0.5440 | 50   | 1.1244          | 2528600           |
| 0.0673        | 0.5984 | 55   | 1.1371          | 2787720           |
| 0.099         | 0.6528 | 60   | 1.1386          | 3037224           |
| 0.1256        | 0.7072 | 65   | 1.1399          | 3299104           |
| 0.0842        | 0.7616 | 70   | 1.1874          | 3556764           |
| 0.12          | 0.8160 | 75   | 1.1876          | 3813380           |
| 0.0752        | 0.8705 | 80   | 1.1980          | 4059584           |
| 0.0604        | 0.9249 | 85   | 1.2308          | 4303764           |
| 0.046         | 0.9793 | 90   | 1.2139          | 4556488           |


### Framework versions

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