distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7661
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: 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 |
|---|---|---|---|
| No log | 1.0 | 4 | 5.7206 |
| No log | 2.0 | 8 | 5.4090 |
| No log | 3.0 | 12 | 5.0445 |
| No log | 4.0 | 16 | 4.6965 |
| No log | 5.0 | 20 | 4.3244 |
| No log | 6.0 | 24 | 3.9996 |
| No log | 7.0 | 28 | 3.7306 |
| No log | 8.0 | 32 | 3.5176 |
| No log | 9.0 | 36 | 3.3432 |
| No log | 10.0 | 40 | 3.1911 |
| No log | 11.0 | 44 | 3.0473 |
| No log | 12.0 | 48 | 2.9251 |
| No log | 13.0 | 52 | 2.8434 |
| No log | 14.0 | 56 | 2.8204 |
| No log | 15.0 | 60 | 2.7856 |
| No log | 16.0 | 64 | 2.7513 |
| No log | 17.0 | 68 | 2.7546 |
| No log | 18.0 | 72 | 2.7580 |
| No log | 19.0 | 76 | 2.7663 |
| No log | 20.0 | 80 | 2.7661 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for madhavpro3/distilbert-base-uncased-finetuned-squad
Base model
distilbert/distilbert-base-uncased