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mnavas
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roberta-finetuned-WebClassification-v2-smalllinguaES

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Model card Files Community
María Navas Loro commited on
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35421e1
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update model card README.md

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@@ -19,11 +19,11 @@ 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: 1.3417
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- - Accuracy: 0.7647
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- - F1: 0.7647
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- - Precision: 0.7647
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- - Recall: 0.7647
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  ## Model description
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@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 9 | 2.1523 | 0.2353 | 0.2353 | 0.2353 | 0.2353 |
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- | No log | 2.0 | 18 | 1.9905 | 0.2353 | 0.2353 | 0.2353 | 0.2353 |
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- | No log | 3.0 | 27 | 2.0054 | 0.4118 | 0.4118 | 0.4118 | 0.4118 |
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- | No log | 4.0 | 36 | 1.6635 | 0.5294 | 0.5294 | 0.5294 | 0.5294 |
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- | No log | 5.0 | 45 | 1.5606 | 0.5882 | 0.5882 | 0.5882 | 0.5882 |
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- | No log | 6.0 | 54 | 1.4136 | 0.7059 | 0.7059 | 0.7059 | 0.7059 |
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- | No log | 7.0 | 63 | 1.3417 | 0.7647 | 0.7647 | 0.7647 | 0.7647 |
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- | No log | 8.0 | 72 | 1.3026 | 0.6471 | 0.6471 | 0.6471 | 0.6471 |
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- | No log | 9.0 | 81 | 1.2420 | 0.6471 | 0.6471 | 0.6471 | 0.6471 |
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- | No log | 10.0 | 90 | 1.2375 | 0.6471 | 0.6471 | 0.6471 | 0.6471 |
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  ### Framework versions
 
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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: 1.2410
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+ - Accuracy: 0.6471
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+ - F1: 0.6471
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+ - Precision: 0.6471
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+ - Recall: 0.6471
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 9 | 2.3023 | 0.0588 | 0.0588 | 0.0588 | 0.0588 |
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+ | No log | 2.0 | 18 | 2.0337 | 0.2353 | 0.2353 | 0.2353 | 0.2353 |
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+ | No log | 3.0 | 27 | 1.8946 | 0.4706 | 0.4706 | 0.4706 | 0.4706 |
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+ | No log | 4.0 | 36 | 1.7548 | 0.5882 | 0.5882 | 0.5882 | 0.5882 |
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+ | No log | 5.0 | 45 | 1.6002 | 0.5294 | 0.5294 | 0.5294 | 0.5294 |
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+ | No log | 6.0 | 54 | 1.4561 | 0.5294 | 0.5294 | 0.5294 | 0.5294 |
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+ | No log | 7.0 | 63 | 1.3614 | 0.5294 | 0.5294 | 0.5294 | 0.5294 |
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+ | No log | 8.0 | 72 | 1.2781 | 0.5882 | 0.5882 | 0.5882 | 0.5882 |
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+ | No log | 9.0 | 81 | 1.2420 | 0.5882 | 0.5882 | 0.5882 | 0.5882 |
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+ | No log | 10.0 | 90 | 1.2410 | 0.6471 | 0.6471 | 0.6471 | 0.6471 |
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  ### Framework versions