t5-base-finetuned-emo20q-classification
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3759
- Rouge1: 70.3125
- Rouge2: 0.0
- Rougel: 70.2083
- Rougelsum: 70.2083
- Gen Len: 2.0
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 280 | 0.3952 | 68.3333 | 0.0 | 68.2292 | 68.2812 | 2.0 |
| 0.7404 | 2.0 | 560 | 0.3774 | 70.1042 | 0.0 | 70.1042 | 70.1042 | 2.0 |
| 0.7404 | 3.0 | 840 | 0.3759 | 70.3125 | 0.0 | 70.2083 | 70.2083 | 2.0 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1