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argilla-news-model
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6567
- Rouge1: 52.1956
- Rouge2: 27.1191
- Rougel: 47.4447
- Rougelsum: 47.4865
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: 5.6e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.0471 | 1.0 | 1532 | 1.6910 | 50.7422 | 26.3198 | 46.3759 | 46.3969 |
| 1.4617 | 2.0 | 3064 | 1.6369 | 52.3416 | 27.1892 | 47.7014 | 47.7618 |
| 1.0947 | 3.0 | 4596 | 1.6567 | 52.1956 | 27.1191 | 47.4447 | 47.4865 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
