bart-base-re-attention-mini-seq-512-bosch
This model is a fine-tuned version of facebook/bart-base on the None dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 3.1814 | 15.2455 | 5.6414 | 12.0022 | 14.6328 | 20.0 | 0.7441 | 0.4793 | 0.3625 | 0.2987 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Base model
facebook/bart-base