HAR_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5524
- Rouge1: 0.3529
- Rouge2: 0.1071
- Rougel: 0.2263
- Rougelsum: 0.2263
- Gen Len: 86.0
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: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 1 | 2.9579 | 0.312 | 0.0738 | 0.2003 | 0.2003 | 75.0 |
No log | 2.0 | 2 | 2.8855 | 0.312 | 0.0738 | 0.2003 | 0.2003 | 75.0 |
No log | 3.0 | 3 | 2.8381 | 0.3376 | 0.0808 | 0.205 | 0.205 | 77.5 |
No log | 4.0 | 4 | 2.7929 | 0.3383 | 0.0903 | 0.2018 | 0.2018 | 74.5 |
No log | 5.0 | 5 | 2.7389 | 0.3383 | 0.0903 | 0.2018 | 0.2018 | 74.5 |
No log | 6.0 | 6 | 2.6640 | 0.3383 | 0.0903 | 0.2018 | 0.2018 | 74.5 |
No log | 7.0 | 7 | 2.6333 | 0.3422 | 0.0916 | 0.1961 | 0.1961 | 72.0 |
No log | 8.0 | 8 | 2.6110 | 0.3383 | 0.0903 | 0.2018 | 0.2018 | 74.5 |
No log | 9.0 | 9 | 2.5951 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 10.0 | 10 | 2.5826 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 11.0 | 11 | 2.5732 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 12.0 | 12 | 2.5632 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 13.0 | 13 | 2.5632 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 14.0 | 14 | 2.5562 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
No log | 15.0 | 15 | 2.5524 | 0.3529 | 0.1071 | 0.2263 | 0.2263 | 86.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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