checkpoints
This model is a fine-tuned version of abdulllah01/checkpoints on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0983
- Rouge1: 45.0287
- Rouge2: 42.6235
- Rougel: 44.7544
- Rougelsum: 44.8438
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: 3
- eval_batch_size: 3
- 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 |
|---|---|---|---|---|---|---|---|
| 0.1839 | 1.0 | 150 | 0.0983 | 45.0287 | 42.6235 | 44.7544 | 44.8438 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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