---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter4_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_iter4_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: 1.3517
- Num Input Tokens Seen: 3894680

## 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                 |
| 3.7019        | 0.0699 | 5    | 1.0817          | 269240            |
| 3.3923        | 0.1397 | 10   | 1.1760          | 545652            |
| 3.1972        | 0.2096 | 15   | 1.2260          | 817200            |
| 3.0134        | 0.2795 | 20   | 1.2884          | 1093032           |
| 2.8402        | 0.3493 | 25   | 1.3254          | 1363440           |
| 2.7236        | 0.4192 | 30   | 1.3343          | 1638832           |
| 2.4553        | 0.4891 | 35   | 1.3224          | 1907096           |
| 2.6104        | 0.5590 | 40   | 1.3143          | 2179408           |
| 2.6111        | 0.6288 | 45   | 1.3231          | 2461164           |
| 2.5001        | 0.6987 | 50   | 1.3322          | 2735560           |
| 2.4994        | 0.7686 | 55   | 1.3282          | 3010548           |
| 2.5116        | 0.8384 | 60   | 1.3344          | 3284104           |
| 2.4746        | 0.9083 | 65   | 1.3460          | 3558936           |
| 2.4739        | 0.9782 | 70   | 1.3520          | 3839172           |


### Framework versions

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