QA_SYNTHETIC_DATA_ONLY_18_AUG_roberta-base
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0066
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0116 | 1.0 | 4978 | 0.0110 |
| 0.0003 | 2.0 | 9956 | 0.0223 |
| 0.0141 | 3.0 | 14934 | 0.0034 |
| 0.0003 | 4.0 | 19912 | 0.0070 |
| 0.0 | 5.0 | 24890 | 0.0033 |
| 0.0 | 6.0 | 29868 | 0.0148 |
| 0.0 | 7.0 | 34846 | 0.0000 |
| 0.0 | 8.0 | 39824 | 0.0003 |
| 0.0001 | 9.0 | 44802 | 0.0071 |
| 0.0 | 10.0 | 49780 | 0.0066 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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FacebookAI/roberta-base