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ThuyNT03
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xlm-roberta-base-Final_VietNam-aug_replace_synonym-1

Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0663
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- - Accuracy: 0.69
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- - F1: 0.6982
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  ## Model description
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@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 2e-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: 8
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.0809 | 1.0 | 86 | 1.0198 | 0.5 | 0.4206 |
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- | 0.7967 | 2.0 | 172 | 0.7866 | 0.62 | 0.6178 |
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- | 0.5958 | 3.0 | 258 | 0.7556 | 0.7 | 0.6975 |
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- | 0.4574 | 4.0 | 344 | 0.8233 | 0.66 | 0.6653 |
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- | 0.3242 | 5.0 | 430 | 0.8224 | 0.7 | 0.7039 |
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- | 0.2399 | 6.0 | 516 | 0.9593 | 0.7 | 0.7099 |
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- | 0.1898 | 7.0 | 602 | 1.0689 | 0.7 | 0.7097 |
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- | 0.1665 | 8.0 | 688 | 1.0663 | 0.69 | 0.6982 |
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  ### Framework versions
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- - Transformers 4.32.1
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1150
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+ - Accuracy: 0.7
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+ - F1: 0.7043
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  ## Model description
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  - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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+ - seed: 41
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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: 8
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.9797 | 1.0 | 86 | 0.7643 | 0.69 | 0.6814 |
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+ | 0.7133 | 2.0 | 172 | 0.6942 | 0.72 | 0.7190 |
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+ | 0.5442 | 3.0 | 258 | 0.7180 | 0.7 | 0.6996 |
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+ | 0.4045 | 4.0 | 344 | 0.9280 | 0.72 | 0.7240 |
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+ | 0.2954 | 5.0 | 430 | 0.9419 | 0.68 | 0.6914 |
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+ | 0.2222 | 6.0 | 516 | 1.0002 | 0.71 | 0.7164 |
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+ | 0.1716 | 7.0 | 602 | 1.0722 | 0.71 | 0.7195 |
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+ | 0.1527 | 8.0 | 688 | 1.1150 | 0.7 | 0.7043 |
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  ### Framework versions
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+ - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
pytorch_model.bin CHANGED
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