metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-fine-tune-generate-email
results: []
t5-fine-tune-generate-email
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4153
- Rouge1: 0.0143
- Rouge2: 0.0060
- Rougel: 0.0137
- Rougelsum: 0.0142
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: 0.0003
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.864 | 1.0 | 2487 | 2.5669 | 0.0151 | 0.0060 | 0.0145 | 0.0150 |
| 2.6463 | 2.0 | 4974 | 2.4533 | 0.0143 | 0.0060 | 0.0137 | 0.0142 |
| 2.5031 | 3.0 | 7461 | 2.4153 | 0.0143 | 0.0060 | 0.0137 | 0.0142 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0