results_1
This model is a fine-tuned version of abhi317/fine_tuned_t5_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5021
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 1 | 42.0556 |
No log | 2.0 | 2 | 38.9852 |
No log | 3.0 | 3 | 36.7956 |
No log | 4.0 | 4 | 35.4292 |
No log | 5.0 | 5 | 33.7279 |
No log | 6.0 | 6 | 31.4091 |
No log | 7.0 | 7 | 28.8833 |
No log | 8.0 | 8 | 27.1638 |
No log | 9.0 | 9 | 25.8978 |
No log | 10.0 | 10 | 25.0016 |
No log | 11.0 | 11 | 24.2730 |
No log | 12.0 | 12 | 23.6733 |
No log | 13.0 | 13 | 23.2065 |
No log | 14.0 | 14 | 22.7518 |
No log | 15.0 | 15 | 22.2969 |
No log | 16.0 | 16 | 21.8050 |
No log | 17.0 | 17 | 21.2434 |
No log | 18.0 | 18 | 20.6862 |
No log | 19.0 | 19 | 20.0804 |
No log | 20.0 | 20 | 19.4932 |
No log | 21.0 | 21 | 18.8996 |
No log | 22.0 | 22 | 18.3365 |
No log | 23.0 | 23 | 17.7677 |
No log | 24.0 | 24 | 17.1920 |
No log | 25.0 | 25 | 16.6171 |
No log | 26.0 | 26 | 16.0761 |
No log | 27.0 | 27 | 15.5945 |
No log | 28.0 | 28 | 15.1259 |
No log | 29.0 | 29 | 14.6276 |
No log | 30.0 | 30 | 14.1001 |
No log | 31.0 | 31 | 13.5355 |
No log | 32.0 | 32 | 12.9060 |
No log | 33.0 | 33 | 12.2622 |
No log | 34.0 | 34 | 11.6173 |
No log | 35.0 | 35 | 10.9521 |
No log | 36.0 | 36 | 10.2559 |
No log | 37.0 | 37 | 9.5633 |
No log | 38.0 | 38 | 8.8638 |
No log | 39.0 | 39 | 8.1318 |
No log | 40.0 | 40 | 7.3948 |
No log | 41.0 | 41 | 6.7363 |
No log | 42.0 | 42 | 6.1963 |
No log | 43.0 | 43 | 5.7837 |
No log | 44.0 | 44 | 5.4856 |
No log | 45.0 | 45 | 5.2822 |
No log | 46.0 | 46 | 5.1536 |
No log | 47.0 | 47 | 5.0731 |
No log | 48.0 | 48 | 5.0201 |
No log | 49.0 | 49 | 4.9832 |
No log | 50.0 | 50 | 4.9554 |
No log | 51.0 | 51 | 4.9339 |
No log | 52.0 | 52 | 4.9187 |
No log | 53.0 | 53 | 4.9072 |
No log | 54.0 | 54 | 4.8975 |
No log | 55.0 | 55 | 4.8873 |
No log | 56.0 | 56 | 4.8772 |
No log | 57.0 | 57 | 4.8669 |
No log | 58.0 | 58 | 4.8561 |
No log | 59.0 | 59 | 4.8458 |
No log | 60.0 | 60 | 4.8352 |
No log | 61.0 | 61 | 4.8248 |
No log | 62.0 | 62 | 4.8140 |
No log | 63.0 | 63 | 4.8033 |
No log | 64.0 | 64 | 4.7903 |
No log | 65.0 | 65 | 4.7769 |
No log | 66.0 | 66 | 4.7630 |
No log | 67.0 | 67 | 4.7487 |
No log | 68.0 | 68 | 4.7321 |
No log | 69.0 | 69 | 4.7153 |
No log | 70.0 | 70 | 4.6993 |
No log | 71.0 | 71 | 4.6846 |
No log | 72.0 | 72 | 4.6710 |
No log | 73.0 | 73 | 4.6572 |
No log | 74.0 | 74 | 4.6446 |
No log | 75.0 | 75 | 4.6325 |
No log | 76.0 | 76 | 4.6211 |
No log | 77.0 | 77 | 4.6105 |
No log | 78.0 | 78 | 4.6006 |
No log | 79.0 | 79 | 4.5911 |
No log | 80.0 | 80 | 4.5819 |
No log | 81.0 | 81 | 4.5734 |
No log | 82.0 | 82 | 4.5653 |
No log | 83.0 | 83 | 4.5582 |
No log | 84.0 | 84 | 4.5522 |
No log | 85.0 | 85 | 4.5464 |
No log | 86.0 | 86 | 4.5412 |
No log | 87.0 | 87 | 4.5365 |
No log | 88.0 | 88 | 4.5318 |
No log | 89.0 | 89 | 4.5274 |
No log | 90.0 | 90 | 4.5231 |
No log | 91.0 | 91 | 4.5193 |
No log | 92.0 | 92 | 4.5159 |
No log | 93.0 | 93 | 4.5129 |
No log | 94.0 | 94 | 4.5103 |
No log | 95.0 | 95 | 4.5079 |
No log | 96.0 | 96 | 4.5060 |
No log | 97.0 | 97 | 4.5045 |
No log | 98.0 | 98 | 4.5033 |
No log | 99.0 | 99 | 4.5025 |
No log | 100.0 | 100 | 4.5021 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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