metadata
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter4_sftsd2
results: []
collapse_gemma-2-27b_hs2_replace_iter4_sftsd2
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: 1.3439
- Num Input Tokens Seen: 3102268
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 |
| 4.2255 | 0.0908 | 5 | 1.0942 | 282080 |
| 4.0729 | 0.1816 | 10 | 1.1872 | 565872 |
| 3.8441 | 0.2724 | 15 | 1.2395 | 844816 |
| 3.6873 | 0.3632 | 20 | 1.3028 | 1127332 |
| 3.5368 | 0.4540 | 25 | 1.3094 | 1411096 |
| 3.3857 | 0.5448 | 30 | 1.3313 | 1691864 |
| 3.2977 | 0.6356 | 35 | 1.3384 | 1975384 |
| 3.3165 | 0.7264 | 40 | 1.3339 | 2258476 |
| 3.1495 | 0.8173 | 45 | 1.3452 | 2540700 |
| 3.1388 | 0.9081 | 50 | 1.3515 | 2820672 |
| 3.0977 | 0.9989 | 55 | 1.3439 | 3102268 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1