metadata
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter5_sftsd1
results: []
collapse_gemma-2-9b_hs2_replace_iter5_sftsd1
This model is a fine-tuned version of google/gemma-2-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6182
- Num Input Tokens Seen: 4642096
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 | 1.2335 | 0 |
| 1.1356 | 0.0513 | 5 | 1.0985 | 236640 |
| 0.5158 | 0.1027 | 10 | 1.1915 | 478096 |
| 0.1867 | 0.1540 | 15 | 1.3803 | 713224 |
| 0.0692 | 0.2053 | 20 | 1.4815 | 950388 |
| 0.0275 | 0.2567 | 25 | 1.3822 | 1195036 |
| 0.0254 | 0.3080 | 30 | 1.4820 | 1434668 |
| 0.0248 | 0.3593 | 35 | 1.5498 | 1669304 |
| 0.0226 | 0.4107 | 40 | 1.5781 | 1908432 |
| 0.0247 | 0.4620 | 45 | 1.5221 | 2150908 |
| 0.0224 | 0.5133 | 50 | 1.4731 | 2397208 |
| 0.0289 | 0.5646 | 55 | 1.4650 | 2634352 |
| 0.0217 | 0.6160 | 60 | 1.4817 | 2867608 |
| 0.0255 | 0.6673 | 65 | 1.5039 | 3114572 |
| 0.0207 | 0.7186 | 70 | 1.5013 | 3357172 |
| 0.0214 | 0.7700 | 75 | 1.4934 | 3593844 |
| 0.0231 | 0.8213 | 80 | 1.5160 | 3833908 |
| 0.0205 | 0.8726 | 85 | 1.5363 | 4071676 |
| 0.0219 | 0.9240 | 90 | 1.5761 | 4314868 |
| 0.0244 | 0.9753 | 95 | 1.6040 | 4546468 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1