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_sftsd0
results: []
collapse_gemma-2-27b_hs2_replace_iter2_sftsd0
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: 1.1980
- Num Input Tokens Seen: 3884172
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 |
| 2.5619 | 0.0609 | 5 | 1.0479 | 234712 |
| 2.306 | 0.1217 | 10 | 1.0663 | 474768 |
| 1.7728 | 0.1826 | 15 | 1.0981 | 710708 |
| 1.6061 | 0.2434 | 20 | 1.1511 | 948504 |
| 1.2679 | 0.3043 | 25 | 1.1725 | 1186572 |
| 1.1194 | 0.3652 | 30 | 1.1757 | 1416168 |
| 0.9711 | 0.4260 | 35 | 1.1728 | 1646396 |
| 1.0101 | 0.4869 | 40 | 1.1625 | 1890108 |
| 0.9108 | 0.5477 | 45 | 1.1646 | 2129884 |
| 0.8715 | 0.6086 | 50 | 1.1616 | 2364656 |
| 0.9123 | 0.6695 | 55 | 1.1721 | 2601440 |
| 0.8214 | 0.7303 | 60 | 1.1805 | 2841352 |
| 1.0584 | 0.7912 | 65 | 1.1801 | 3084488 |
| 0.7651 | 0.8520 | 70 | 1.1723 | 3317380 |
| 0.7307 | 0.9129 | 75 | 1.1715 | 3557164 |
| 0.8541 | 0.9738 | 80 | 1.1968 | 3787968 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1