roberta-vmw-mrqa
This model is a fine-tuned version of VMware/roberta-base-mrqa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7997
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: 0.0002
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2285 | 1.0 | 1399 | 1.8940 |
| 1.521 | 2.0 | 2798 | 1.6821 |
| 1.0055 | 3.0 | 4197 | 1.7997 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for enriquesaou/roberta-vmw-mrqa-old-but-not-that-old
Base model
VMware/roberta-base-mrqa