t5-base-neg2pos
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1739
- Rouge1: 62.4361
- Rouge2: 46.2313
- Rougel: 60.8217
- Rougelsum: 60.8436
- Gen Len: 14.2644
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: 32
- eval_batch_size: 32
- 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 | 63 | 0.6190 | 25.7819 | 13.3116 | 24.5077 | 24.7927 | 12.0511 |
No log | 2.0 | 126 | 0.2495 | 3.5073 | 2.2341 | 3.3849 | 3.4491 | 1.6422 |
No log | 3.0 | 189 | 0.1894 | 23.3895 | 16.6499 | 22.4422 | 22.4241 | 5.9222 |
No log | 4.0 | 252 | 0.1762 | 59.7842 | 43.6137 | 57.9791 | 57.9826 | 13.7778 |
No log | 5.0 | 315 | 0.1739 | 62.4361 | 46.2313 | 60.8217 | 60.8436 | 14.2644 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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