t5-small-finetuned-2024-03-14
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-13 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6488
- Rouge1: 36.7711
- Rouge2: 23.7969
- Rougel: 33.074
- Rougelsum: 33.6007
- Gen Len: 18.814
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6749 | 1.0 | 341 | 1.6488 | 36.7711 | 23.7969 | 33.074 | 33.6007 | 18.814 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2