tmp
This model is a fine-tuned version of google/mt5-small on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0099
- Gen Len: 3.3917
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: 1024
- eval_batch_size: 1024
- seed: 13
- gradient_accumulation_steps: 2
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | nan | 0.0114 | 3.3338 |
| No log | 2.0 | 2 | nan | 0.0114 | 3.3338 |
| No log | 3.0 | 3 | nan | 0.0114 | 3.3338 |
| No log | 4.0 | 4 | nan | 0.0114 | 3.3338 |
| No log | 5.0 | 5 | nan | 0.0114 | 3.3338 |
| No log | 6.0 | 6 | nan | 0.0114 | 3.3338 |
| No log | 7.0 | 7 | nan | 0.0114 | 3.3338 |
| No log | 8.0 | 8 | nan | 0.0114 | 3.3338 |
| No log | 9.0 | 9 | nan | 0.0114 | 3.3338 |
| No log | 10.0 | 10 | nan | 0.0114 | 3.3338 |
| No log | 11.0 | 11 | nan | 0.0114 | 3.3338 |
| No log | 12.0 | 12 | nan | 0.0114 | 3.3338 |
| No log | 13.0 | 13 | nan | 0.0114 | 3.3338 |
| No log | 14.0 | 14 | nan | 0.0114 | 3.3338 |
| No log | 15.0 | 15 | nan | 0.0114 | 3.3338 |
| No log | 16.0 | 16 | nan | 0.0114 | 3.3338 |
| No log | 17.0 | 17 | nan | 0.0114 | 3.3338 |
| No log | 18.0 | 18 | nan | 0.0114 | 3.3338 |
| No log | 19.0 | 19 | nan | 0.0114 | 3.3338 |
| No log | 20.0 | 20 | nan | 0.0114 | 3.3338 |
Framework versions
- Transformers 4.8.2
- Pytorch 1.8.1+cu111
- Datasets 1.9.0
- Tokenizers 0.10.3
New
Select AutoNLP in the “Train” menu to fine-tune this model automatically.
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