metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_t5_model
results: []
my_t5_model
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4436
- Rouge1: 0.6818
- Rouge2: 0.5255
- Rougel: 0.6496
- Rougelsum: 0.6495
- Gen Len: 15.0861
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.4551 | 1.0 | 2185 | 0.4677 | 0.6934 | 0.5395 | 0.6603 | 0.6603 | 15.1588 |
| 0.4895 | 2.0 | 4370 | 0.4355 | 0.6966 | 0.5463 | 0.6658 | 0.6657 | 15.1563 |
| 0.4915 | 3.0 | 6555 | 0.4436 | 0.6818 | 0.5254 | 0.6496 | 0.6496 | 15.0864 |
| 0.4911 | 4.0 | 8740 | 0.4436 | 0.6818 | 0.5255 | 0.6496 | 0.6495 | 15.0861 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1