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nlp-chula
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aspect-finnlp-th

Text Classification
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End of training

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  1. README.md +13 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9164
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- - Accuracy: 0.7808
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.3287 | 1.0 | 512 | 1.2494 | 0.5985 |
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- | 0.8335 | 2.0 | 1024 | 0.8613 | 0.7289 |
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- | 0.5842 | 3.0 | 1536 | 0.8177 | 0.7682 |
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- | 0.4046 | 4.0 | 2048 | 0.8337 | 0.7682 |
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- | 0.2979 | 5.0 | 2560 | 0.8745 | 0.7773 |
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- | 0.2083 | 6.0 | 3072 | 0.9164 | 0.7808 |
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  ### Framework versions
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- - Transformers 4.34.0
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.14.0
 
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  This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8123
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+ - Accuracy: 0.7762
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.2935 | 1.0 | 512 | 0.9896 | 0.6811 |
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+ | 0.9114 | 2.0 | 1024 | 0.8804 | 0.7221 |
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+ | 0.64 | 3.0 | 1536 | 0.8094 | 0.7546 |
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+ | 0.4395 | 4.0 | 2048 | 0.8038 | 0.7705 |
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+ | 0.3559 | 5.0 | 2560 | 0.8123 | 0.7762 |
 
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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