bart_qa_model
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2074
- F1: 0.7487
- Exact Match: 0.612
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: 3.7185140364032e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 | F1 | Exact Match |
|---|---|---|---|---|---|
| 2.497 | 1.0 | 125 | 1.3235 | 0.6994 | 0.552 |
| 1.1709 | 2.0 | 250 | 1.1675 | 0.7374 | 0.601 |
| 0.8943 | 3.0 | 375 | 1.2074 | 0.7487 | 0.612 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for smrynrz20/bart_qa_model
Base model
facebook/bart-base