emnlp_7clusters
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: 0.4400
- Bleu: 65.7865
- Gen Len: 10.7745
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8894 | 1.0 | 4678 | 0.6692 | 51.69 | 10.7453 |
| 0.629 | 2.0 | 9356 | 0.5097 | 61.0645 | 10.779 |
| 0.5045 | 3.0 | 14034 | 0.4602 | 64.5135 | 10.7614 |
| 0.4413 | 4.0 | 18712 | 0.4400 | 65.7865 | 10.7745 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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