---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter3_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_iter3_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: 1.3653
- Num Input Tokens Seen: 3955416

## 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                 |
| 3.8489        | 0.0583 | 5    | 1.0535          | 228936            |
| 3.3414        | 0.1165 | 10   | 1.1298          | 463812            |
| 2.8437        | 0.1748 | 15   | 1.1488          | 702592            |
| 1.9341        | 0.2331 | 20   | 1.2179          | 938224            |
| 1.1621        | 0.2913 | 25   | 1.2570          | 1165920           |
| 0.6806        | 0.3496 | 30   | 1.2791          | 1403276           |
| 0.6728        | 0.4079 | 35   | 1.2535          | 1650592           |
| 0.5266        | 0.4661 | 40   | 1.2409          | 1880524           |
| 0.5377        | 0.5244 | 45   | 1.2414          | 2104356           |
| 0.4042        | 0.5827 | 50   | 1.2466          | 2335700           |
| 0.7168        | 0.6409 | 55   | 1.2873          | 2564852           |
| 0.3333        | 0.6992 | 60   | 1.3003          | 2791324           |
| 0.5753        | 0.7575 | 65   | 1.3164          | 3032688           |
| 0.3997        | 0.8157 | 70   | 1.3235          | 3267132           |
| 0.3566        | 0.8740 | 75   | 1.3464          | 3502604           |
| 0.4565        | 0.9323 | 80   | 1.3853          | 3727432           |
| 0.1841        | 0.9905 | 85   | 1.3653          | 3955416           |


### Framework versions

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