my_awesome_qa_model_40_len
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0913
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: 1e-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: 13
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3462 | 1.0 | 523 | 1.2270 |
| 1.1239 | 2.0 | 1046 | 1.2380 |
| 0.9519 | 3.0 | 1569 | 1.2953 |
| 0.8053 | 4.0 | 2092 | 1.3760 |
| 0.6936 | 5.0 | 2615 | 1.4716 |
| 0.5995 | 6.0 | 3138 | 1.5764 |
| 0.5185 | 7.0 | 3661 | 1.6700 |
| 0.4539 | 8.0 | 4184 | 1.8047 |
| 0.3977 | 9.0 | 4707 | 1.8563 |
| 0.3545 | 10.0 | 5230 | 1.9588 |
| 0.329 | 11.0 | 5753 | 2.0120 |
| 0.2982 | 12.0 | 6276 | 2.0690 |
| 0.2887 | 13.0 | 6799 | 2.0913 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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