seq2seq
This model is a fine-tuned version of facebook/bart-large on the iva_mt_wslot dataset. It achieves the following results on the evaluation set:
- Loss: 1.1103
- Bleu: 20.3646
- Gen Len: 17.8886
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.6673 | 1.0 | 1273 | 1.2760 | 17.6152 | 17.5786 |
| 1.1375 | 2.0 | 2546 | 1.1103 | 20.3646 | 17.8886 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for gs224/seq2seq
Base model
facebook/bart-largeEvaluation results
- Bleu on iva_mt_wslotvalidation set self-reported20.365