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textSummaryV2_02
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9944
- Rouge1: 37.5058
- Rouge2: 14.8687
- Rougel: 25.9236
- Rougelsum: 34.378
- Gen Len: 200
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 65 | 2.2162 | 37.3174 | 14.2461 | 25.474 | 33.5577 | 200 |
| No log | 2.0 | 130 | 2.0640 | 37.5609 | 14.6307 | 25.841 | 34.5967 | 200 |
| No log | 3.0 | 195 | 2.0178 | 37.8563 | 15.0376 | 26.1045 | 34.884 | 200 |
| No log | 4.0 | 260 | 2.0003 | 37.5972 | 14.7923 | 26.0761 | 34.5751 | 200 |
| No log | 5.0 | 325 | 1.9944 | 37.5058 | 14.8687 | 25.9236 | 34.378 | 200 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
