metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter2_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter2_sftsd0
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4538
- Num Input Tokens Seen: 4832464
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: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- 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 | 1.3909 | 0 |
| 1.6784 | 0.0591 | 5 | 1.2633 | 282096 |
| 1.3537 | 0.1183 | 10 | 1.1871 | 571576 |
| 1.0696 | 0.1774 | 15 | 1.2164 | 857160 |
| 0.9162 | 0.2365 | 20 | 1.2391 | 1142344 |
| 0.7598 | 0.2956 | 25 | 1.3479 | 1427536 |
| 0.5372 | 0.3548 | 30 | 1.4227 | 1715736 |
| 0.4796 | 0.4139 | 35 | 1.4737 | 2003760 |
| 0.3889 | 0.4730 | 40 | 1.5021 | 2286384 |
| 0.1994 | 0.5322 | 45 | 1.5032 | 2573248 |
| 0.3391 | 0.5913 | 50 | 1.4714 | 2862104 |
| 0.3297 | 0.6504 | 55 | 1.4358 | 3145472 |
| 0.2038 | 0.7095 | 60 | 1.4488 | 3432144 |
| 0.195 | 0.7687 | 65 | 1.4273 | 3724448 |
| 0.1749 | 0.8278 | 70 | 1.4248 | 4016736 |
| 0.1654 | 0.8869 | 75 | 1.4554 | 4305224 |
| 0.1846 | 0.9460 | 80 | 1.4274 | 4595952 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1