nep-spell-mt5-small-02
This model is a fine-tuned version of duraad/nep-spell-mt5-small-01 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0018
- Accuracy: 0.732
- Precision: 0.8016
- Recall: 0.732
- F1: 0.7563
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0088 | 1.0 | 10000 | 0.0018 | 0.732 | 0.8016 | 0.732 | 0.7563 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for duraad/nep-spell-mt5-small-02
Base model
google/mt5-small
Finetuned
duraad/nep-spell-mt5-small-00
Finetuned
duraad/nep-spell-mt5-small-01