---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter5_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_iter5_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: 1.3937
- Num Input Tokens Seen: 2703900

## 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                 |
| 4.0912        | 0.1071 | 5    | 1.1202          | 291172            |
| 3.8259        | 0.2142 | 10   | 1.2093          | 586952            |
| 3.656         | 0.3213 | 15   | 1.2610          | 881004            |
| 3.4522        | 0.4284 | 20   | 1.3078          | 1174016           |
| 3.2654        | 0.5355 | 25   | 1.3624          | 1467268           |
| 3.2203        | 0.6426 | 30   | 1.3656          | 1762408           |
| 3.0818        | 0.7497 | 35   | 1.3812          | 2055808           |
| 3.0687        | 0.8568 | 40   | 1.3846          | 2347528           |
| 3.0439        | 0.9639 | 45   | 1.3870          | 2645048           |


### Framework versions

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