metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
- wer
model-index:
- name: mt5_epoch_1To6
results: []
mt5_epoch_1To6
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Wer: 1.0
- Cer: 1.0
- Chrf: 0.0
- Exact Match: 0.0
- Bertscore:precision: 0.0
- Bertscore:recall: 0.0
- Bertscore:f1: 0.0
- Ter: 100.0
- Blerurt: -1.3889
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Wer | Cer | Chrf | Exact Match | Bertscore:precision | Bertscore:recall | Bertscore:f1 | Ter | Blerurt |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.57 | 1000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | -1.3889 |
| 0.0 | 3.14 | 2000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | -1.3889 |
| 0.0 | 4.72 | 3000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | -1.3889 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2