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spanish-spellchecker-t5-base-wikitest10000
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2114
- Bleu: 0.0011
- Gen Len: 19.0
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: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
No log | 1.0 | 498 | 0.2742 | 0.001 | 19.0 |
0.5034 | 2.0 | 996 | 0.2497 | 0.001 | 19.0 |
0.2999 | 3.0 | 1494 | 0.2361 | 0.0011 | 19.0 |
0.2762 | 4.0 | 1992 | 0.2268 | 0.0011 | 19.0 |
0.2619 | 5.0 | 2490 | 0.2214 | 0.0011 | 19.0 |
0.2513 | 6.0 | 2988 | 0.2175 | 0.0011 | 19.0 |
0.244 | 7.0 | 3486 | 0.2141 | 0.0011 | 19.0 |
0.239 | 8.0 | 3984 | 0.2131 | 0.0011 | 19.0 |
0.2351 | 9.0 | 4482 | 0.2115 | 0.0011 | 19.0 |
0.2319 | 10.0 | 4980 | 0.2114 | 0.0011 | 19.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2