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wangchanberta-base-att-spm-uncased-masking
chatiyar/wangchanberta-base-att-spm-uncased-masking
wangchanberta-base-att-spm-uncased-masking is a fill-mask model from chatiyar. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- May 1, 2024
- Updated
- May 3, 2024
- SHA
- 3a7c5eec
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wangchanberta-base-att-spm-uncased-masking
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0452
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.097 | 1.0 | 375 | 0.0452 |
Framework versions
- Transformers 4.15.0
- Pytorch 2.3.0+cu121
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- camembert
- Created
- May 1, 2024
- Updated
- May 3, 2024