QA_model7-test
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.2383
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: 1
- eval_batch_size: 11
- 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 | 6.2383 |
| No log | 2.0 | 8 | 6.2383 |
| No log | 3.0 | 12 | 6.2383 |
| No log | 4.0 | 16 | 6.2383 |
| No log | 5.0 | 20 | 6.2383 |
| No log | 6.0 | 24 | 6.2383 |
| No log | 7.0 | 28 | 6.2383 |
| No log | 8.0 | 32 | 6.2383 |
| No log | 9.0 | 36 | 6.2383 |
| No log | 10.0 | 40 | 6.2383 |
| No log | 11.0 | 44 | 6.2383 |
| No log | 12.0 | 48 | 6.2383 |
| No log | 13.0 | 52 | 6.2383 |
| No log | 14.0 | 56 | 6.2383 |
| No log | 15.0 | 60 | 6.2383 |
| No log | 16.0 | 64 | 6.2383 |
| No log | 17.0 | 68 | 6.2383 |
| No log | 18.0 | 72 | 6.2383 |
| No log | 19.0 | 76 | 6.2383 |
| No log | 20.0 | 80 | 6.2383 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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