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token_fine_tunned_flipkart_2_gl6
This model is a fine-tuned version of vinayak361/token_fine_tunned_flipkart_2_gl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7363
- Precision: 0.7243
- Recall: 0.7752
- F1: 0.7489
- Accuracy: 0.7558
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: 2e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 120 | 1.0057 | 0.6623 | 0.7212 | 0.6905 | 0.6995 |
| No log | 2.0 | 240 | 0.8581 | 0.6660 | 0.7290 | 0.6961 | 0.7080 |
| No log | 3.0 | 360 | 0.8085 | 0.6882 | 0.7518 | 0.7186 | 0.7302 |
| No log | 4.0 | 480 | 0.7890 | 0.6970 | 0.7575 | 0.7260 | 0.7332 |
| 0.92 | 5.0 | 600 | 0.7716 | 0.7036 | 0.7596 | 0.7305 | 0.7372 |
| 0.92 | 6.0 | 720 | 0.7573 | 0.7028 | 0.7603 | 0.7304 | 0.7397 |
| 0.92 | 7.0 | 840 | 0.7510 | 0.7135 | 0.7653 | 0.7385 | 0.7462 |
| 0.92 | 8.0 | 960 | 0.7509 | 0.7192 | 0.7688 | 0.7432 | 0.7472 |
| 0.7004 | 9.0 | 1080 | 0.7409 | 0.7181 | 0.7717 | 0.7439 | 0.7472 |
| 0.7004 | 10.0 | 1200 | 0.7428 | 0.7155 | 0.7710 | 0.7422 | 0.7492 |
| 0.7004 | 11.0 | 1320 | 0.7414 | 0.7223 | 0.7752 | 0.7479 | 0.7523 |
| 0.7004 | 12.0 | 1440 | 0.7426 | 0.7207 | 0.7710 | 0.7450 | 0.7492 |
| 0.6265 | 13.0 | 1560 | 0.7368 | 0.7255 | 0.7745 | 0.7492 | 0.7553 |
| 0.6265 | 14.0 | 1680 | 0.7388 | 0.7239 | 0.7738 | 0.7480 | 0.7538 |
| 0.6265 | 15.0 | 1800 | 0.7338 | 0.7239 | 0.7738 | 0.7480 | 0.7538 |
| 0.6265 | 16.0 | 1920 | 0.7368 | 0.7243 | 0.7752 | 0.7489 | 0.7548 |
| 0.5879 | 17.0 | 2040 | 0.7371 | 0.7270 | 0.7767 | 0.7510 | 0.7568 |
| 0.5879 | 18.0 | 2160 | 0.7371 | 0.7243 | 0.7752 | 0.7489 | 0.7558 |
| 0.5879 | 19.0 | 2280 | 0.7356 | 0.7247 | 0.7752 | 0.7491 | 0.7553 |
| 0.5879 | 20.0 | 2400 | 0.7363 | 0.7243 | 0.7752 | 0.7489 | 0.7558 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1
