metadata
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter5_sftsd1
results: []
collapse_gemma-2-27b_hs2_replace_iter5_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: 1.3937
- Num Input Tokens Seen: 2703900
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 |
| 4.0912 | 0.1071 | 5 | 1.1202 | 291172 |
| 3.8259 | 0.2142 | 10 | 1.2093 | 586952 |
| 3.656 | 0.3213 | 15 | 1.2610 | 881004 |
| 3.4522 | 0.4284 | 20 | 1.3078 | 1174016 |
| 3.2654 | 0.5355 | 25 | 1.3624 | 1467268 |
| 3.2203 | 0.6426 | 30 | 1.3656 | 1762408 |
| 3.0818 | 0.7497 | 35 | 1.3812 | 2055808 |
| 3.0687 | 0.8568 | 40 | 1.3846 | 2347528 |
| 3.0439 | 0.9639 | 45 | 1.3870 | 2645048 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1