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prox-doc-xlm-roberta-base

Text Classification
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xlm-roberta
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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.4378
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- - Accuracy: 0.8025
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  ## Model description
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@@ -39,8 +39,8 @@ More information needed
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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: 32
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | No log | 0 | 0 | 0.6940 | 0.5024 |
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- | 0.458 | 0.1002 | 502 | 0.4614 | 0.7833 |
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- | 0.4624 | 0.2003 | 1004 | 0.4600 | 0.7892 |
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- | 0.3856 | 0.3005 | 1506 | 0.4427 | 0.7981 |
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- | 0.461 | 0.4006 | 2008 | 0.4300 | 0.8024 |
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- | 0.4471 | 0.5008 | 2510 | 0.4333 | 0.7989 |
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- | 0.4519 | 0.6010 | 3012 | 0.4425 | 0.8020 |
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- | 0.45 | 0.7011 | 3514 | 0.4366 | 0.8027 |
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- | 0.4443 | 0.8013 | 4016 | 0.4373 | 0.8026 |
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- | 0.4487 | 0.9014 | 4518 | 0.4378 | 0.8025 |
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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: 0.3884
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+ - Accuracy: 0.8212
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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: 64
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+ - eval_batch_size: 128
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0 | 0 | 0.6939 | 0.4947 |
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+ | 0.4562 | 0.1002 | 251 | 0.4377 | 0.7956 |
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+ | 0.369 | 0.2003 | 502 | 0.4421 | 0.8068 |
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+ | 0.4306 | 0.3005 | 753 | 0.4042 | 0.8123 |
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+ | 0.384 | 0.4006 | 1004 | 0.4016 | 0.8180 |
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+ | 0.4115 | 0.5008 | 1255 | 0.3996 | 0.8177 |
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+ | 0.4205 | 0.6010 | 1506 | 0.4070 | 0.8079 |
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+ | 0.39 | 0.7011 | 1757 | 0.3883 | 0.8227 |
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+ | 0.3902 | 0.8013 | 2008 | 0.3951 | 0.8179 |
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+ | 0.369 | 0.9014 | 2259 | 0.3884 | 0.8212 |
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  ### Framework versions
model.safetensors CHANGED
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  size 1112205008
 
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