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academic_text_classifier_en

Text Classification
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xlm-roberta
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text-embeddings-inference
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c-ho/academic_main_text_classifier_en

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/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: 0.2970
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- - Accuracy: 0.9245
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- - Precision: 0.9245
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- - Recall: 0.9245
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- - F1: 0.9245
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 32
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- - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.1027 | 1.0 | 381 | 0.3276 | 0.9045 | 0.9045 | 0.9045 | 0.9045 |
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- | 0.334 | 2.0 | 762 | 0.2641 | 0.9154 | 0.9154 | 0.9154 | 0.9154 |
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- | 0.2223 | 3.0 | 1143 | 0.2681 | 0.9222 | 0.9222 | 0.9222 | 0.9222 |
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- | 0.1714 | 4.0 | 1524 | 0.2702 | 0.9213 | 0.9213 | 0.9213 | 0.9213 |
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- | 0.1512 | 5.0 | 1905 | 0.2970 | 0.9245 | 0.9245 | 0.9245 | 0.9245 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/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: 0.3476
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+ - Accuracy: 0.9242
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+ - Precision: 0.9242
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+ - Recall: 0.9242
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+ - F1: 0.9242
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  ## Model description
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  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: 32
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.374 | 1.0 | 762 | 0.3602 | 0.9035 | 0.9035 | 0.9035 | 0.9035 |
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+ | 0.2924 | 2.0 | 1524 | 0.3104 | 0.9170 | 0.9170 | 0.9170 | 0.9170 |
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+ | 0.2438 | 3.0 | 2286 | 0.2851 | 0.9262 | 0.9262 | 0.9262 | 0.9262 |
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+ | 0.1795 | 4.0 | 3048 | 0.3492 | 0.9252 | 0.9252 | 0.9252 | 0.9252 |
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+ | 0.151 | 5.0 | 3810 | 0.3476 | 0.9242 | 0.9242 | 0.9242 | 0.9242 |
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  ### Framework versions
model.safetensors CHANGED
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  size 1112211160
 
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  size 1112211160