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PCTwangchanberta-base-att-spm-uncased
Tonjk/PCTwangchanberta-base-att-spm-uncased
PCTwangchanberta-base-att-spm-uncased is a fill-mask model from Tonjk. 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
- Nov 7, 2023
- Updated
- Nov 8, 2023
- SHA
- cbfe1bca
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Base models
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. -->
PCTwangchanberta-base-att-spm-uncased
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: 0.0352
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2744 | 1.0 | 3810 | 0.0556 |
| 0.054 | 2.0 | 7620 | 0.0424 |
| 0.047 | 3.0 | 11430 | 0.0367 |
| 0.0406 | 4.0 | 15240 | 0.0372 |
| 0.0328 | 5.0 | 19050 | 0.0380 |
| 0.028 | 6.0 | 22860 | 0.0344 |
| 0.0244 | 7.0 | 26670 | 0.0348 |
| 0.0217 | 8.0 | 30480 | 0.0349 |
| 0.0203 | 9.0 | 34290 | 0.0351 |
| 0.0198 | 10.0 | 38100 | 0.0352 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 1.17.0
- Tokenizers 0.14.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- camembert
- Created
- Nov 7, 2023
- Updated
- Nov 8, 2023