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mt5_base_EN_wiki
This model is a fine-tuned version of google/mt5-base on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge2 Fmeasure: 0.0086
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: 53
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Fmeasure |
|---|---|---|---|---|
| 0.0 | 1.0 | 1223 | nan | 0.0086 |
| 0.0 | 2.0 | 2446 | nan | 0.0086 |
| 0.0 | 3.0 | 3669 | nan | 0.0086 |
| 0.0 | 4.0 | 4892 | nan | 0.0086 |
| 0.0 | 5.0 | 6115 | nan | 0.0086 |
| 0.0 | 6.0 | 7338 | nan | 0.0086 |
| 0.0 | 7.0 | 8561 | nan | 0.0086 |
| 0.0 | 8.0 | 9784 | nan | 0.0086 |
| 0.0 | 9.0 | 11007 | nan | 0.0086 |
| 0.0 | 10.0 | 12230 | nan | 0.0086 |
| 0.0 | 11.0 | 13453 | nan | 0.0086 |
| 0.0 | 12.0 | 14676 | nan | 0.0086 |
| 0.0 | 13.0 | 15899 | nan | 0.0086 |
| 0.0 | 14.0 | 17122 | nan | 0.0086 |
| 0.0 | 15.0 | 18345 | nan | 0.0086 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for e22vvb/mt5_base_EN_wiki
Base model
google/mt5-base
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("e22vvb/mt5_base_EN_wiki") model = AutoModelForSeq2SeqLM.from_pretrained("e22vvb/mt5_base_EN_wiki")