---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_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-2-27b_hs2_replace_iter2_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: 1.1980
- Num Input Tokens Seen: 3884172

## 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                 |
| 2.5619        | 0.0609 | 5    | 1.0479          | 234712            |
| 2.306         | 0.1217 | 10   | 1.0663          | 474768            |
| 1.7728        | 0.1826 | 15   | 1.0981          | 710708            |
| 1.6061        | 0.2434 | 20   | 1.1511          | 948504            |
| 1.2679        | 0.3043 | 25   | 1.1725          | 1186572           |
| 1.1194        | 0.3652 | 30   | 1.1757          | 1416168           |
| 0.9711        | 0.4260 | 35   | 1.1728          | 1646396           |
| 1.0101        | 0.4869 | 40   | 1.1625          | 1890108           |
| 0.9108        | 0.5477 | 45   | 1.1646          | 2129884           |
| 0.8715        | 0.6086 | 50   | 1.1616          | 2364656           |
| 0.9123        | 0.6695 | 55   | 1.1721          | 2601440           |
| 0.8214        | 0.7303 | 60   | 1.1805          | 2841352           |
| 1.0584        | 0.7912 | 65   | 1.1801          | 3084488           |
| 0.7651        | 0.8520 | 70   | 1.1723          | 3317380           |
| 0.7307        | 0.9129 | 75   | 1.1715          | 3557164           |
| 0.8541        | 0.9738 | 80   | 1.1968          | 3787968           |


### Framework versions

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