q2
This model is a fine-tuned version of samhitmantrala/q1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 70
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 0.0032 |
| No log | 2.0 | 2 | 0.0025 |
| No log | 3.0 | 3 | 0.0020 |
| No log | 4.0 | 4 | 0.0017 |
| No log | 5.0 | 5 | 0.0014 |
| No log | 6.0 | 6 | 0.0012 |
| No log | 7.0 | 7 | 0.0010 |
| No log | 8.0 | 8 | 0.0009 |
| No log | 9.0 | 9 | 0.0007 |
| No log | 10.0 | 10 | 0.0006 |
| No log | 11.0 | 11 | 0.0006 |
| No log | 12.0 | 12 | 0.0005 |
| No log | 13.0 | 13 | 0.0004 |
| No log | 14.0 | 14 | 0.0004 |
| No log | 15.0 | 15 | 0.0003 |
| No log | 16.0 | 16 | 0.0003 |
| No log | 17.0 | 17 | 0.0003 |
| No log | 18.0 | 18 | 0.0002 |
| No log | 19.0 | 19 | 0.0002 |
| No log | 20.0 | 20 | 0.0002 |
| No log | 21.0 | 21 | 0.0002 |
| No log | 22.0 | 22 | 0.0002 |
| No log | 23.0 | 23 | 0.0002 |
| No log | 24.0 | 24 | 0.0001 |
| No log | 25.0 | 25 | 0.0001 |
| No log | 26.0 | 26 | 0.0001 |
| No log | 27.0 | 27 | 0.0001 |
| No log | 28.0 | 28 | 0.0001 |
| No log | 29.0 | 29 | 0.0001 |
| No log | 30.0 | 30 | 0.0001 |
| No log | 31.0 | 31 | 0.0001 |
| No log | 32.0 | 32 | 0.0001 |
| No log | 33.0 | 33 | 0.0001 |
| No log | 34.0 | 34 | 0.0001 |
| No log | 35.0 | 35 | 0.0001 |
| No log | 36.0 | 36 | 0.0001 |
| No log | 37.0 | 37 | 0.0001 |
| No log | 38.0 | 38 | 0.0001 |
| No log | 39.0 | 39 | 0.0001 |
| No log | 40.0 | 40 | 0.0001 |
| No log | 41.0 | 41 | 0.0001 |
| No log | 42.0 | 42 | 0.0001 |
| No log | 43.0 | 43 | 0.0001 |
| No log | 44.0 | 44 | 0.0001 |
| No log | 45.0 | 45 | 0.0001 |
| No log | 46.0 | 46 | 0.0001 |
| No log | 47.0 | 47 | 0.0001 |
| No log | 48.0 | 48 | 0.0001 |
| No log | 49.0 | 49 | 0.0001 |
| No log | 50.0 | 50 | 0.0001 |
| No log | 51.0 | 51 | 0.0001 |
| No log | 52.0 | 52 | 0.0001 |
| No log | 53.0 | 53 | 0.0001 |
| No log | 54.0 | 54 | 0.0001 |
| No log | 55.0 | 55 | 0.0001 |
| No log | 56.0 | 56 | 0.0001 |
| No log | 57.0 | 57 | 0.0001 |
| No log | 58.0 | 58 | 0.0001 |
| No log | 59.0 | 59 | 0.0001 |
| No log | 60.0 | 60 | 0.0001 |
| No log | 61.0 | 61 | 0.0001 |
| No log | 62.0 | 62 | 0.0001 |
| No log | 63.0 | 63 | 0.0001 |
| No log | 64.0 | 64 | 0.0001 |
| No log | 65.0 | 65 | 0.0001 |
| No log | 66.0 | 66 | 0.0001 |
| No log | 67.0 | 67 | 0.0001 |
| No log | 68.0 | 68 | 0.0001 |
| No log | 69.0 | 69 | 0.0001 |
| No log | 70.0 | 70 | 0.0001 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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