emnlp_test_9clusters_msmarco_bart_large_200k
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6447
- Bleu: 77.0949
- Gen Len: 10.5172
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8802 | 1.0 | 1250 | 1.1652 | 53.9226 | 10.7576 |
| 0.8808 | 2.0 | 2500 | 0.8230 | 68.163 | 10.5673 |
| 0.6896 | 3.0 | 3750 | 0.7116 | 73.3521 | 10.6162 |
| 0.5654 | 4.0 | 5000 | 0.7829 | 75.4941 | 10.449 |
| 0.5079 | 5.0 | 6250 | 0.6514 | 76.6795 | 10.5106 |
| 0.4738 | 6.0 | 7500 | 0.6447 | 77.0949 | 10.5172 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
facebook/bart-large