metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter11_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter11_sftsd2
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: 2.5696
- Num Input Tokens Seen: 4695928
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: 2
- 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 |
| 1.6214 | 0.0511 | 5 | 1.2781 | 242552 |
| 0.8435 | 0.1021 | 10 | 1.2999 | 477288 |
| 0.4883 | 0.1532 | 15 | 1.5045 | 720128 |
| 0.2263 | 0.2042 | 20 | 1.7044 | 967664 |
| 0.114 | 0.2553 | 25 | 1.9947 | 1212888 |
| 0.0907 | 0.3063 | 30 | 2.2002 | 1453400 |
| 0.0368 | 0.3574 | 35 | 2.3314 | 1694024 |
| 0.0282 | 0.4084 | 40 | 2.4725 | 1936744 |
| 0.0231 | 0.4595 | 45 | 2.5584 | 2177368 |
| 0.0227 | 0.5105 | 50 | 2.5691 | 2417808 |
| 0.0262 | 0.5616 | 55 | 2.5540 | 2656048 |
| 0.0214 | 0.6126 | 60 | 2.5430 | 2897904 |
| 0.021 | 0.6637 | 65 | 2.5528 | 3141864 |
| 0.0233 | 0.7147 | 70 | 2.5605 | 3374832 |
| 0.0207 | 0.7658 | 75 | 2.5545 | 3623264 |
| 0.0218 | 0.8168 | 80 | 2.5579 | 3865080 |
| 0.0214 | 0.8679 | 85 | 2.5544 | 4106824 |
| 0.0208 | 0.9190 | 90 | 2.5564 | 4346216 |
| 0.0203 | 0.9700 | 95 | 2.5687 | 4597608 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1