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MultiPRIDE-LGBT-Pretrain-es

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Luca Tedeschini commited on
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MultiPRIDE-LGBT-Pretrain-es

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  1. README.md +16 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-hate-spanish](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-hate-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9789
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- - Accuracy: 0.7652
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- - F1: 0.7862
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- - Precision: 0.8507
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- - Recall: 0.7308
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  ## Model description
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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- - seed: 85
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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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  - num_epochs: 10
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.724 | 1.0 | 77 | 0.5981 | 0.7197 | 0.7483 | 0.7971 | 0.7051 |
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- | 0.5088 | 2.0 | 154 | 0.5295 | 0.7879 | 0.8228 | 0.8125 | 0.8333 |
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- | 0.4324 | 3.0 | 231 | 0.6928 | 0.7273 | 0.7391 | 0.85 | 0.6538 |
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- | 0.3912 | 4.0 | 308 | 0.6122 | 0.7727 | 0.8026 | 0.8243 | 0.7821 |
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- | 0.3165 | 5.0 | 385 | 0.9789 | 0.7652 | 0.7862 | 0.8507 | 0.7308 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-hate-spanish](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-hate-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9596
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+ - Accuracy: 0.8258
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+ - F1: 0.8553
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+ - Precision: 0.8395
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+ - Recall: 0.8718
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  ## Model description
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  - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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+ - seed: 150
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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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  - num_epochs: 10
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6373 | 1.0 | 77 | 0.6966 | 0.6894 | 0.6772 | 0.8776 | 0.5513 |
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+ | 0.501 | 2.0 | 154 | 0.5357 | 0.7576 | 0.8095 | 0.7556 | 0.8718 |
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+ | 0.4767 | 3.0 | 231 | 0.5615 | 0.7727 | 0.7945 | 0.8529 | 0.7436 |
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+ | 0.3971 | 4.0 | 308 | 0.5905 | 0.8030 | 0.8194 | 0.8939 | 0.7564 |
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+ | 0.1834 | 5.0 | 385 | 0.5565 | 0.8333 | 0.8590 | 0.8590 | 0.8590 |
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+ | 0.247 | 6.0 | 462 | 0.7815 | 0.8182 | 0.8442 | 0.8553 | 0.8333 |
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+ | 0.2188 | 7.0 | 539 | 0.9196 | 0.8182 | 0.8481 | 0.8375 | 0.8590 |
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+ | 0.0572 | 8.0 | 616 | 1.0110 | 0.8409 | 0.8712 | 0.8353 | 0.9103 |
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+ | 0.0413 | 9.0 | 693 | 1.0312 | 0.8182 | 0.8519 | 0.8214 | 0.8846 |
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+ | 0.0276 | 10.0 | 770 | 0.9596 | 0.8258 | 0.8553 | 0.8395 | 0.8718 |
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  ### Framework versions
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