metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- universal_dependencies
model-index:
- name: alberta-te-pos
results: []
alberta-te-pos
This model is a fine-tuned version of t5-small on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 0.7232
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 252 | 1.1029 |
| 2.4271 | 2.0 | 504 | 0.7232 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0