---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter2_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-2-27b_hs2_replace_iter2_sftsd1

This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1843
- Num Input Tokens Seen: 3808768

## 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    | 1.1282          | 0                 |
| 2.5155        | 0.0608 | 5    | 1.0474          | 236020            |
| 2.3221        | 0.1216 | 10   | 1.0643          | 471208            |
| 1.8872        | 0.1824 | 15   | 1.0913          | 707824            |
| 1.5782        | 0.2432 | 20   | 1.1446          | 943300            |
| 1.3696        | 0.3040 | 25   | 1.1695          | 1175352           |
| 1.1143        | 0.3647 | 30   | 1.1811          | 1412980           |
| 1.1623        | 0.4255 | 35   | 1.1684          | 1635940           |
| 1.235         | 0.4863 | 40   | 1.1777          | 1866292           |
| 1.1213        | 0.5471 | 45   | 1.1692          | 2096140           |
| 1.125         | 0.6079 | 50   | 1.1775          | 2327208           |
| 1.0627        | 0.6687 | 55   | 1.1690          | 2561988           |
| 0.9847        | 0.7295 | 60   | 1.1899          | 2784360           |
| 1.0474        | 0.7903 | 65   | 1.1640          | 3017608           |
| 0.9585        | 0.8511 | 70   | 1.1777          | 3249220           |
| 0.9715        | 0.9119 | 75   | 1.1700          | 3485472           |
| 1.0036        | 0.9726 | 80   | 1.1909          | 3722208           |


### Framework versions

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