metadata
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
model-index:
- name: message_extractor
results: []
message_extractor
This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0185
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3131 | 1.0 | 191 | 0.3448 |
| 0.2332 | 2.0 | 382 | 0.1029 |
| 0.127 | 3.0 | 573 | 0.0606 |
| 0.0685 | 4.0 | 764 | 0.0423 |
| 0.052 | 5.0 | 955 | 0.0338 |
| 0.0002 | 6.0 | 1146 | 0.0275 |
| 0.0468 | 7.0 | 1337 | 0.0238 |
| 0.02 | 8.0 | 1528 | 0.0207 |
| 0.0567 | 9.0 | 1719 | 0.0189 |
| 0.0044 | 10.0 | 1910 | 0.0185 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0