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T5-model-1-feedback-0810
This model is a fine-tuned version of theojolliffe/T5-model-1-feedback-0510 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1776
- Rouge1: 94.0404
- Rouge2: 91.0472
- Rougel: 93.8927
- Rougelsum: 93.9417
- Gen Len: 15.5128
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 363 | 0.2000 | 93.0351 | 89.425 | 93.1359 | 93.2085 | 15.1538 |
| 0.2311 | 2.0 | 726 | 0.1835 | 93.7371 | 90.8556 | 93.7891 | 93.8622 | 15.2051 |
| 0.191 | 3.0 | 1089 | 0.1792 | 94.1894 | 91.4087 | 94.0525 | 94.0773 | 15.5128 |
| 0.191 | 4.0 | 1452 | 0.1776 | 94.0404 | 91.0472 | 93.8927 | 93.9417 | 15.5128 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
