metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: pre_response
results: []
pre_response
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1160
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2894 | 1.0 | 1294 | 0.1637 |
| 0.1826 | 2.0 | 2588 | 0.1253 |
| 0.1676 | 3.0 | 3882 | 0.1160 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.4.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2