metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter10_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: 2.6489
- Num Input Tokens Seen: 7847456
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 |
| 1.6165 | 0.0315 | 5 | 1.3101 | 243056 |
| 1.172 | 0.0630 | 10 | 1.2582 | 490584 |
| 0.7463 | 0.0945 | 15 | 1.3463 | 739912 |
| 0.464 | 0.1259 | 20 | 1.5692 | 990256 |
| 0.3508 | 0.1574 | 25 | 1.6804 | 1240472 |
| 0.1841 | 0.1889 | 30 | 1.8268 | 1486504 |
| 0.097 | 0.2204 | 35 | 2.0664 | 1738888 |
| 0.0635 | 0.2519 | 40 | 2.2289 | 1980448 |
| 0.0452 | 0.2834 | 45 | 2.3601 | 2228472 |
| 0.0422 | 0.3148 | 50 | 2.4612 | 2476704 |
| 0.0364 | 0.3463 | 55 | 2.5085 | 2731320 |
| 0.0341 | 0.3778 | 60 | 2.5222 | 2979128 |
| 0.0304 | 0.4093 | 65 | 2.5257 | 3220656 |
| 0.0281 | 0.4408 | 70 | 2.5652 | 3471576 |
| 0.0247 | 0.4723 | 75 | 2.5819 | 3708808 |
| 0.025 | 0.5037 | 80 | 2.5916 | 3965208 |
| 0.0244 | 0.5352 | 85 | 2.6135 | 4212016 |
| 0.026 | 0.5667 | 90 | 2.6298 | 4456472 |
| 0.0236 | 0.5982 | 95 | 2.6157 | 4708392 |
| 0.0232 | 0.6297 | 100 | 2.6080 | 4960984 |
| 0.0234 | 0.6612 | 105 | 2.6128 | 5209920 |
| 0.0294 | 0.6926 | 110 | 2.6223 | 5450632 |
| 0.0257 | 0.7241 | 115 | 2.6158 | 5696272 |
| 0.0264 | 0.7556 | 120 | 2.6134 | 5945648 |
| 0.0245 | 0.7871 | 125 | 2.6294 | 6201960 |
| 0.0235 | 0.8186 | 130 | 2.6448 | 6449680 |
| 0.0225 | 0.8501 | 135 | 2.6495 | 6695680 |
| 0.0251 | 0.8815 | 140 | 2.6462 | 6946656 |
| 0.0252 | 0.9130 | 145 | 2.6537 | 7189752 |
| 0.0223 | 0.9445 | 150 | 2.6462 | 7443512 |
| 0.0217 | 0.9760 | 155 | 2.6488 | 7693456 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1