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dealFindr-finetuned-v2
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2667
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 13.4493 |
| No log | 2.0 | 12 | 12.2565 |
| No log | 3.0 | 18 | 11.4010 |
| No log | 4.0 | 24 | 10.2832 |
| No log | 5.0 | 30 | 8.8511 |
| No log | 6.0 | 36 | 7.0976 |
| No log | 7.0 | 42 | 5.9832 |
| No log | 8.0 | 48 | 5.2993 |
| No log | 9.0 | 54 | 4.9107 |
| No log | 10.0 | 60 | 4.5861 |
| No log | 11.0 | 66 | 4.3329 |
| No log | 12.0 | 72 | 4.1270 |
| No log | 13.0 | 78 | 3.9392 |
| No log | 14.0 | 84 | 3.7658 |
| No log | 15.0 | 90 | 3.6182 |
| No log | 16.0 | 96 | 3.4915 |
| No log | 17.0 | 102 | 3.3719 |
| No log | 18.0 | 108 | 3.2467 |
| No log | 19.0 | 114 | 3.1374 |
| No log | 20.0 | 120 | 3.0331 |
| No log | 21.0 | 126 | 2.9368 |
| No log | 22.0 | 132 | 2.8411 |
| No log | 23.0 | 138 | 2.7430 |
| No log | 24.0 | 144 | 2.6521 |
| No log | 25.0 | 150 | 2.5733 |
| No log | 26.0 | 156 | 2.4918 |
| No log | 27.0 | 162 | 2.4123 |
| No log | 28.0 | 168 | 2.3377 |
| No log | 29.0 | 174 | 2.2648 |
| No log | 30.0 | 180 | 2.1950 |
| No log | 31.0 | 186 | 2.1286 |
| No log | 32.0 | 192 | 2.0646 |
| No log | 33.0 | 198 | 2.0045 |
| No log | 34.0 | 204 | 1.9476 |
| No log | 35.0 | 210 | 1.8927 |
| No log | 36.0 | 216 | 1.8419 |
| No log | 37.0 | 222 | 1.7924 |
| No log | 38.0 | 228 | 1.7420 |
| No log | 39.0 | 234 | 1.6980 |
| No log | 40.0 | 240 | 1.6592 |
| No log | 41.0 | 246 | 1.6197 |
| No log | 42.0 | 252 | 1.5805 |
| No log | 43.0 | 258 | 1.5428 |
| No log | 44.0 | 264 | 1.5082 |
| No log | 45.0 | 270 | 1.4784 |
| No log | 46.0 | 276 | 1.4517 |
| No log | 47.0 | 282 | 1.4265 |
| No log | 48.0 | 288 | 1.4019 |
| No log | 49.0 | 294 | 1.3798 |
| No log | 50.0 | 300 | 1.3596 |
| No log | 51.0 | 306 | 1.3419 |
| No log | 52.0 | 312 | 1.3262 |
| No log | 53.0 | 318 | 1.3122 |
| No log | 54.0 | 324 | 1.3003 |
| No log | 55.0 | 330 | 1.2902 |
| No log | 56.0 | 336 | 1.2821 |
| No log | 57.0 | 342 | 1.2757 |
| No log | 58.0 | 348 | 1.2709 |
| No log | 59.0 | 354 | 1.2678 |
| No log | 60.0 | 360 | 1.2667 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
