metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: email_parser_mistral_t5_small
results: []
email_parser_mistral_t5_small
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0981
- Rouge1: 0.8634
- Rouge2: 0.8253
- Rougel: 0.8644
- Rougelsum: 0.8629
- Gen Len: 14.4146
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 74 | 0.1405 | 0.8485 | 0.8115 | 0.8499 | 0.8496 | 15.0732 |
| No log | 2.0 | 148 | 0.1229 | 0.8641 | 0.8307 | 0.8668 | 0.8661 | 14.4878 |
| No log | 3.0 | 222 | 0.1086 | 0.8712 | 0.8353 | 0.8725 | 0.8709 | 14.2439 |
| No log | 4.0 | 296 | 0.1001 | 0.8712 | 0.8353 | 0.8725 | 0.8709 | 14.2439 |
| No log | 5.0 | 370 | 0.0981 | 0.8634 | 0.8253 | 0.8644 | 0.8629 | 14.4146 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0