metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-anaphora_czech
results: []
t5-small-finetuned-anaphora_czech
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1518
- Exact Match: 13.6407
- Gen Len: 15.1024
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
|---|---|---|---|---|---|
| 0.1654 | 1.0 | 2105 | 0.1737 | 10.0048 | 15.8496 |
| 0.1351 | 2.0 | 4210 | 0.1555 | 12.6188 | 15.2229 |
| 0.1324 | 3.0 | 6315 | 0.1518 | 13.6407 | 15.1024 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1