---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter4_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-2-27b_hs2_replace_iter4_sftsd0

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: 1.3266
- Num Input Tokens Seen: 4030192

## 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    | 1.1282          | 0                 |
| 3.9014        | 0.0694 | 5    | 1.0629          | 278000            |
| 3.6407        | 0.1389 | 10   | 1.1530          | 559276            |
| 3.5129        | 0.2083 | 15   | 1.2057          | 839944            |
| 3.365         | 0.2778 | 20   | 1.2553          | 1123192           |
| 3.2314        | 0.3472 | 25   | 1.2937          | 1402000           |
| 3.0661        | 0.4167 | 30   | 1.3170          | 1675956           |
| 2.9861        | 0.4861 | 35   | 1.3117          | 1953884           |
| 2.9771        | 0.5556 | 40   | 1.3107          | 2238624           |
| 2.7982        | 0.625  | 45   | 1.3116          | 2521396           |
| 2.8816        | 0.6944 | 50   | 1.3106          | 2802856           |
| 2.8309        | 0.7639 | 55   | 1.3189          | 3077316           |
| 2.7512        | 0.8333 | 60   | 1.3098          | 3358448           |
| 2.7935        | 0.9028 | 65   | 1.3161          | 3643588           |
| 2.8647        | 0.9722 | 70   | 1.3220          | 3923824           |


### Framework versions

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