---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter4_sftsd2
  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_sftsd2

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: 1.3439
- Num Input Tokens Seen: 3102268

## 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: 2
- 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                 |
| 4.2255        | 0.0908 | 5    | 1.0942          | 282080            |
| 4.0729        | 0.1816 | 10   | 1.1872          | 565872            |
| 3.8441        | 0.2724 | 15   | 1.2395          | 844816            |
| 3.6873        | 0.3632 | 20   | 1.3028          | 1127332           |
| 3.5368        | 0.4540 | 25   | 1.3094          | 1411096           |
| 3.3857        | 0.5448 | 30   | 1.3313          | 1691864           |
| 3.2977        | 0.6356 | 35   | 1.3384          | 1975384           |
| 3.3165        | 0.7264 | 40   | 1.3339          | 2258476           |
| 3.1495        | 0.8173 | 45   | 1.3452          | 2540700           |
| 3.1388        | 0.9081 | 50   | 1.3515          | 2820672           |
| 3.0977        | 0.9989 | 55   | 1.3439          | 3102268           |


### Framework versions

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