metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: bart-copy-mechanism
results: []
bart-copy-mechanism
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0335
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4853 | 0.3658 | 2500 | 0.2050 |
0.1517 | 0.7315 | 5000 | 0.0839 |
0.0833 | 1.0973 | 7500 | 0.0652 |
0.0624 | 1.4631 | 10000 | 0.0491 |
0.0508 | 1.8288 | 12500 | 0.0441 |
0.0459 | 2.1946 | 15000 | 0.0410 |
0.0431 | 2.5604 | 17500 | 0.0387 |
0.0408 | 2.9261 | 20000 | 0.0373 |
0.0391 | 3.2919 | 22500 | 0.0361 |
0.0379 | 3.6576 | 25000 | 0.0350 |
0.0371 | 4.0234 | 27500 | 0.0343 |
0.0361 | 4.3892 | 30000 | 0.0339 |
0.0357 | 4.7549 | 32500 | 0.0335 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1