roberta-base-on-cuad-finetuned-squad
This model is a fine-tuned version of Rakib/roberta-base-on-cuad on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9238
- eval_runtime: 213.2462
- eval_samples_per_second: 50.599
- eval_steps_per_second: 3.165
- epoch: 2.2579
- step: 12500
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: 3
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 12