metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter5_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: 2.3657
- Num Input Tokens Seen: 8077024
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 | 1.3956 | 0 |
| 1.6417 | 0.0316 | 5 | 1.3077 | 259488 |
| 1.2388 | 0.0632 | 10 | 1.2367 | 506760 |
| 0.8793 | 0.0947 | 15 | 1.2729 | 765824 |
| 0.6917 | 0.1263 | 20 | 1.4184 | 1019280 |
| 0.4293 | 0.1579 | 25 | 1.5732 | 1271416 |
| 0.2959 | 0.1895 | 30 | 1.6498 | 1515792 |
| 0.2466 | 0.2211 | 35 | 1.8461 | 1771464 |
| 0.1581 | 0.2527 | 40 | 1.9813 | 2020528 |
| 0.0765 | 0.2842 | 45 | 2.1203 | 2277040 |
| 0.0524 | 0.3158 | 50 | 2.2317 | 2527976 |
| 0.0539 | 0.3474 | 55 | 2.3208 | 2784520 |
| 0.0348 | 0.3790 | 60 | 2.3321 | 3041696 |
| 0.0366 | 0.4106 | 65 | 2.3404 | 3300560 |
| 0.037 | 0.4422 | 70 | 2.3494 | 3547576 |
| 0.0324 | 0.4737 | 75 | 2.3125 | 3810280 |
| 0.0307 | 0.5053 | 80 | 2.2571 | 4069032 |
| 0.0281 | 0.5369 | 85 | 2.2877 | 4323872 |
| 0.0289 | 0.5685 | 90 | 2.3183 | 4583064 |
| 0.0304 | 0.6001 | 95 | 2.3403 | 4844432 |
| 0.0272 | 0.6317 | 100 | 2.3549 | 5101512 |
| 0.0276 | 0.6632 | 105 | 2.3650 | 5358960 |
| 0.0306 | 0.6948 | 110 | 2.3604 | 5616864 |
| 0.0282 | 0.7264 | 115 | 2.3438 | 5877496 |
| 0.0288 | 0.7580 | 120 | 2.3419 | 6129360 |
| 0.0281 | 0.7896 | 125 | 2.3471 | 6382240 |
| 0.0305 | 0.8212 | 130 | 2.3799 | 6635400 |
| 0.0295 | 0.8527 | 135 | 2.3850 | 6889824 |
| 0.0294 | 0.8843 | 140 | 2.3463 | 7146448 |
| 0.0258 | 0.9159 | 145 | 2.3439 | 7407840 |
| 0.0272 | 0.9475 | 150 | 2.3552 | 7662520 |
| 0.0263 | 0.9791 | 155 | 2.3712 | 7923432 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1