metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter7_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: 2.5277
- Num Input Tokens Seen: 7940992
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 | 1.3956 | 0 |
| 1.5364 | 0.0316 | 5 | 1.3068 | 253784 |
| 1.1259 | 0.0632 | 10 | 1.2465 | 510904 |
| 0.6887 | 0.0947 | 15 | 1.3550 | 769904 |
| 0.5128 | 0.1263 | 20 | 1.5270 | 1016400 |
| 0.3194 | 0.1579 | 25 | 1.6846 | 1268560 |
| 0.1918 | 0.1895 | 30 | 1.8390 | 1517032 |
| 0.1256 | 0.2211 | 35 | 2.0239 | 1770608 |
| 0.0896 | 0.2527 | 40 | 2.2047 | 2023392 |
| 0.0555 | 0.2842 | 45 | 2.3706 | 2273832 |
| 0.0402 | 0.3158 | 50 | 2.4122 | 2529912 |
| 0.0338 | 0.3474 | 55 | 2.4354 | 2783520 |
| 0.0345 | 0.3790 | 60 | 2.3862 | 3030728 |
| 0.0281 | 0.4106 | 65 | 2.4360 | 3277464 |
| 0.0285 | 0.4422 | 70 | 2.4702 | 3520992 |
| 0.0296 | 0.4737 | 75 | 2.4709 | 3770984 |
| 0.0284 | 0.5053 | 80 | 2.5290 | 4026776 |
| 0.0254 | 0.5369 | 85 | 2.5619 | 4275136 |
| 0.0288 | 0.5685 | 90 | 2.5185 | 4524936 |
| 0.026 | 0.6001 | 95 | 2.4887 | 4781848 |
| 0.0265 | 0.6317 | 100 | 2.4976 | 5021704 |
| 0.0254 | 0.6632 | 105 | 2.4820 | 5274368 |
| 0.0322 | 0.6948 | 110 | 2.4803 | 5529272 |
| 0.0308 | 0.7264 | 115 | 2.4894 | 5783496 |
| 0.0263 | 0.7580 | 120 | 2.5027 | 6034168 |
| 0.0254 | 0.7896 | 125 | 2.4805 | 6291808 |
| 0.0263 | 0.8212 | 130 | 2.4729 | 6544088 |
| 0.0335 | 0.8527 | 135 | 2.4893 | 6791616 |
| 0.0264 | 0.8843 | 140 | 2.5056 | 7045456 |
| 0.0251 | 0.9159 | 145 | 2.5100 | 7294288 |
| 0.0245 | 0.9475 | 150 | 2.5167 | 7548384 |
| 0.0277 | 0.9791 | 155 | 2.5252 | 7791720 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1