metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter3_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter3_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: 1.9480
- Num Input Tokens Seen: 5391904
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 |
| 1.5565 | 0.0525 | 5 | 1.2728 | 291256 |
| 1.0932 | 0.1050 | 10 | 1.2207 | 576856 |
| 0.7974 | 0.1575 | 15 | 1.3414 | 859856 |
| 0.6902 | 0.2100 | 20 | 1.4786 | 1143424 |
| 0.408 | 0.2625 | 25 | 1.5763 | 1425944 |
| 0.2647 | 0.3150 | 30 | 1.7198 | 1705536 |
| 0.183 | 0.3675 | 35 | 1.8118 | 1986632 |
| 0.1028 | 0.4199 | 40 | 1.8767 | 2264728 |
| 0.0944 | 0.4724 | 45 | 1.9227 | 2547680 |
| 0.054 | 0.5249 | 50 | 1.9488 | 2835016 |
| 0.0758 | 0.5774 | 55 | 1.8554 | 3117064 |
| 0.0682 | 0.6299 | 60 | 1.8586 | 3408136 |
| 0.0638 | 0.6824 | 65 | 1.9812 | 3686176 |
| 0.0693 | 0.7349 | 70 | 2.0412 | 3968392 |
| 0.049 | 0.7874 | 75 | 2.0365 | 4248416 |
| 0.0394 | 0.8399 | 80 | 1.9713 | 4537376 |
| 0.0341 | 0.8924 | 85 | 1.9624 | 4822888 |
| 0.0517 | 0.9449 | 90 | 1.9243 | 5112896 |
| 0.0362 | 0.9974 | 95 | 1.9480 | 5391904 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1