metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Transaminitis_M2_1000rate_1e5_SFT
results: []
Transaminitis_M2_1000rate_1e5_SFT
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3335
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.481 | 0.2 | 25 | 0.6212 |
| 0.4843 | 0.4 | 50 | 0.4602 |
| 0.4738 | 0.6 | 75 | 0.7299 |
| 0.5545 | 0.8 | 100 | 0.8047 |
| 0.5804 | 1.0 | 125 | 0.2867 |
| 0.3273 | 1.2 | 150 | 0.4552 |
| 0.4405 | 1.4 | 175 | 0.2827 |
| 0.3231 | 1.6 | 200 | 0.3794 |
| 0.26 | 1.8 | 225 | 0.2519 |
| 0.2472 | 2.0 | 250 | 0.2499 |
| 0.2571 | 2.2 | 275 | 0.2425 |
| 0.2316 | 2.4 | 300 | 0.2324 |
| 0.2285 | 2.6 | 325 | 0.2367 |
| 0.2325 | 2.8 | 350 | 0.2349 |
| 0.2273 | 3.0 | 375 | 0.2316 |
| 0.2202 | 3.2 | 400 | 0.2258 |
| 0.2178 | 3.4 | 425 | 0.2277 |
| 0.2228 | 3.6 | 450 | 0.2267 |
| 0.2213 | 3.8 | 475 | 0.2246 |
| 0.2173 | 4.0 | 500 | 0.2363 |
| 0.2097 | 4.2 | 525 | 0.2388 |
| 0.2123 | 4.4 | 550 | 0.2288 |
| 0.2139 | 4.6 | 575 | 0.2252 |
| 0.2162 | 4.8 | 600 | 0.2245 |
| 0.2108 | 5.0 | 625 | 0.2249 |
| 0.1981 | 5.2 | 650 | 0.2304 |
| 0.2025 | 5.4 | 675 | 0.2325 |
| 0.1982 | 5.6 | 700 | 0.2335 |
| 0.1966 | 5.8 | 725 | 0.2322 |
| 0.2021 | 6.0 | 750 | 0.2314 |
| 0.1772 | 6.2 | 775 | 0.2624 |
| 0.1733 | 6.4 | 800 | 0.2670 |
| 0.169 | 6.6 | 825 | 0.2719 |
| 0.1682 | 6.8 | 850 | 0.2800 |
| 0.177 | 7.0 | 875 | 0.2782 |
| 0.1408 | 7.2 | 900 | 0.3174 |
| 0.1398 | 7.4 | 925 | 0.3290 |
| 0.142 | 7.6 | 950 | 0.3331 |
| 0.1336 | 7.8 | 975 | 0.3337 |
| 0.1378 | 8.0 | 1000 | 0.3335 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1