bart-mn-qg2-finetuned
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: 0.8424
Model description
More information needed
Intended uses & limitations
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4453 | 1.0 | 500 | 0.9952 |
| 1.0128 | 2.0 | 1000 | 0.9094 |
| 0.937 | 3.0 | 1500 | 0.8850 |
| 0.8925 | 4.0 | 2000 | 0.8536 |
| 0.8694 | 5.0 | 2500 | 0.8424 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1
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Model tree for Alt4nsuh/bart-mn-qg2-finetuned
Base model
facebook/bart-base