---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter3_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_iter3_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: 1.2906
- Num Input Tokens Seen: 3849248

## 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                 |
| 3.9495        | 0.0656 | 5    | 1.0675          | 257040            |
| 3.6648        | 0.1311 | 10   | 1.1421          | 509700            |
| 3.4127        | 0.1967 | 15   | 1.1791          | 758008            |
| 3.3226        | 0.2623 | 20   | 1.2243          | 1018792           |
| 3.0561        | 0.3279 | 25   | 1.2610          | 1268784           |
| 2.9523        | 0.3934 | 30   | 1.2649          | 1519000           |
| 2.7744        | 0.4590 | 35   | 1.2769          | 1772404           |
| 2.7413        | 0.5246 | 40   | 1.2763          | 2028800           |
| 2.554         | 0.5902 | 45   | 1.2870          | 2281292           |
| 2.4988        | 0.6557 | 50   | 1.2886          | 2529200           |
| 2.6288        | 0.7213 | 55   | 1.2899          | 2791768           |
| 2.4897        | 0.7869 | 60   | 1.2956          | 3044012           |
| 2.6199        | 0.8525 | 65   | 1.2915          | 3299772           |
| 2.4062        | 0.9180 | 70   | 1.2969          | 3550872           |
| 2.2421        | 0.9836 | 75   | 1.2894          | 3799436           |


### Framework versions

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