metadata
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter2_sftsd1
results: []
collapse_gemma-2-27b_hs2_replace_iter2_sftsd1
This model is a fine-tuned version of google/gemma-2-27b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1843
- Num Input Tokens Seen: 3808768
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 |
| 2.5155 | 0.0608 | 5 | 1.0474 | 236020 |
| 2.3221 | 0.1216 | 10 | 1.0643 | 471208 |
| 1.8872 | 0.1824 | 15 | 1.0913 | 707824 |
| 1.5782 | 0.2432 | 20 | 1.1446 | 943300 |
| 1.3696 | 0.3040 | 25 | 1.1695 | 1175352 |
| 1.1143 | 0.3647 | 30 | 1.1811 | 1412980 |
| 1.1623 | 0.4255 | 35 | 1.1684 | 1635940 |
| 1.235 | 0.4863 | 40 | 1.1777 | 1866292 |
| 1.1213 | 0.5471 | 45 | 1.1692 | 2096140 |
| 1.125 | 0.6079 | 50 | 1.1775 | 2327208 |
| 1.0627 | 0.6687 | 55 | 1.1690 | 2561988 |
| 0.9847 | 0.7295 | 60 | 1.1899 | 2784360 |
| 1.0474 | 0.7903 | 65 | 1.1640 | 3017608 |
| 0.9585 | 0.8511 | 70 | 1.1777 | 3249220 |
| 0.9715 | 0.9119 | 75 | 1.1700 | 3485472 |
| 1.0036 | 0.9726 | 80 | 1.1909 | 3722208 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1