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nekta_ai_v2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3819
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: 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 2.7725 |
| No log | 2.0 | 2 | 2.0761 |
| No log | 3.0 | 3 | 1.6521 |
| No log | 4.0 | 4 | 1.3916 |
| No log | 5.0 | 5 | 1.2775 |
| No log | 6.0 | 6 | 1.1982 |
| No log | 7.0 | 7 | 1.1158 |
| No log | 8.0 | 8 | 1.0482 |
| No log | 9.0 | 9 | 1.0100 |
| No log | 10.0 | 10 | 0.9798 |
| No log | 11.0 | 11 | 0.9576 |
| No log | 12.0 | 12 | 0.9373 |
| No log | 13.0 | 13 | 0.9129 |
| No log | 14.0 | 14 | 0.8900 |
| No log | 15.0 | 15 | 0.8704 |
| No log | 16.0 | 16 | 0.8561 |
| No log | 17.0 | 17 | 0.8436 |
| No log | 18.0 | 18 | 0.8343 |
| No log | 19.0 | 19 | 0.8197 |
| No log | 20.0 | 20 | 0.7882 |
| No log | 21.0 | 21 | 0.7567 |
| No log | 22.0 | 22 | 0.7370 |
| No log | 23.0 | 23 | 0.7239 |
| No log | 24.0 | 24 | 0.7099 |
| No log | 25.0 | 25 | 0.6934 |
| No log | 26.0 | 26 | 0.6758 |
| No log | 27.0 | 27 | 0.6582 |
| No log | 28.0 | 28 | 0.6439 |
| No log | 29.0 | 29 | 0.6290 |
| No log | 30.0 | 30 | 0.6120 |
| No log | 31.0 | 31 | 0.5951 |
| No log | 32.0 | 32 | 0.5779 |
| No log | 33.0 | 33 | 0.5587 |
| No log | 34.0 | 34 | 0.5395 |
| No log | 35.0 | 35 | 0.5184 |
| No log | 36.0 | 36 | 0.4945 |
| No log | 37.0 | 37 | 0.4751 |
| No log | 38.0 | 38 | 0.4597 |
| No log | 39.0 | 39 | 0.4462 |
| No log | 40.0 | 40 | 0.4361 |
| No log | 41.0 | 41 | 0.4264 |
| No log | 42.0 | 42 | 0.4184 |
| No log | 43.0 | 43 | 0.4111 |
| No log | 44.0 | 44 | 0.4064 |
| No log | 45.0 | 45 | 0.4006 |
| No log | 46.0 | 46 | 0.3948 |
| No log | 47.0 | 47 | 0.3892 |
| No log | 48.0 | 48 | 0.3857 |
| No log | 49.0 | 49 | 0.3833 |
| No log | 50.0 | 50 | 0.3819 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Tokenizers 0.13.3
