metadata
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
model-index:
- name: purpose_extractor
results: []
purpose_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: 0.0745
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 |
|---|---|---|---|
| 6.6008 | 1.0 | 55 | 3.7359 |
| 0.9015 | 2.0 | 110 | 0.4882 |
| 0.5158 | 3.0 | 165 | 0.2454 |
| 0.6051 | 4.0 | 220 | 0.1737 |
| 1.0759 | 5.0 | 275 | 0.1356 |
| 0.0473 | 6.0 | 330 | 0.1097 |
| 0.0412 | 7.0 | 385 | 0.0928 |
| 0.5505 | 8.0 | 440 | 0.0827 |
| 0.0438 | 9.0 | 495 | 0.0764 |
| 0.0687 | 10.0 | 550 | 0.0745 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0