---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_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-2-27b_hs2_replace_iter3_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: 1.5023
- Num Input Tokens Seen: 4234420

## 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                 |
| 3.7147        | 0.0561 | 5    | 1.0496          | 244372            |
| 3.235         | 0.1122 | 10   | 1.1099          | 481484            |
| 2.4971        | 0.1683 | 15   | 1.1474          | 719068            |
| 1.9063        | 0.2244 | 20   | 1.2046          | 947552            |
| 1.4217        | 0.2805 | 25   | 1.2617          | 1186008           |
| 1.0419        | 0.3366 | 30   | 1.2732          | 1423708           |
| 0.5457        | 0.3927 | 35   | 1.2704          | 1663424           |
| 0.5577        | 0.4488 | 40   | 1.2656          | 1897532           |
| 0.4695        | 0.5049 | 45   | 1.2629          | 2141400           |
| 0.4864        | 0.5610 | 50   | 1.2747          | 2376896           |
| 0.4432        | 0.6171 | 55   | 1.2721          | 2618200           |
| 0.3554        | 0.6732 | 60   | 1.3097          | 2863148           |
| 0.3316        | 0.7293 | 65   | 1.3176          | 3094748           |
| 0.242         | 0.7854 | 70   | 1.3384          | 3336248           |
| 0.2209        | 0.8415 | 75   | 1.3945          | 3565560           |
| 0.248         | 0.8976 | 80   | 1.4152          | 3799244           |
| 0.2728        | 0.9537 | 85   | 1.4084          | 4041904           |


### Framework versions

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