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roberta-finetuned-intention-prediction-es

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  1. README.md +28 -28
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,10 +3,10 @@ base_model: MMG/mlm-spanish-roberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
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- - accuracy
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  - precision
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  - recall
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  - f1
 
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  model-index:
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  - name: roberta-finetuned-intention-prediction-es
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  results: []
@@ -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 [MMG/mlm-spanish-roberta-base](https://huggingface.co/MMG/mlm-spanish-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9210
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- - Accuracy: 0.6612
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- - Precision: 0.6636
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- - Recall: 0.6612
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- - F1: 0.6548
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  ## Model description
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@@ -52,28 +52,28 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 2.2916 | 1.0 | 102 | 1.7136 | 0.5086 | 0.4698 | 0.5086 | 0.4377 |
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- | 1.3326 | 2.0 | 204 | 1.4443 | 0.5805 | 0.5827 | 0.5805 | 0.5601 |
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- | 0.8798 | 3.0 | 306 | 1.2932 | 0.6344 | 0.6276 | 0.6344 | 0.6150 |
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- | 0.5609 | 4.0 | 408 | 1.3591 | 0.6350 | 0.6465 | 0.6350 | 0.6264 |
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- | 0.3819 | 5.0 | 510 | 1.4155 | 0.6455 | 0.6559 | 0.6455 | 0.6400 |
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- | 0.2587 | 6.0 | 612 | 1.4981 | 0.6462 | 0.6592 | 0.6462 | 0.6296 |
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- | 0.1779 | 7.0 | 714 | 1.5921 | 0.6382 | 0.6529 | 0.6382 | 0.6343 |
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- | 0.108 | 8.0 | 816 | 1.6453 | 0.6585 | 0.6634 | 0.6585 | 0.6508 |
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- | 0.0788 | 9.0 | 918 | 1.6822 | 0.6509 | 0.6510 | 0.6509 | 0.6422 |
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- | 0.0577 | 10.0 | 1020 | 1.7348 | 0.6641 | 0.6663 | 0.6641 | 0.6562 |
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- | 0.0455 | 11.0 | 1122 | 1.8055 | 0.6458 | 0.6550 | 0.6458 | 0.6411 |
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- | 0.0292 | 12.0 | 1224 | 1.8641 | 0.6640 | 0.6763 | 0.6640 | 0.6579 |
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- | 0.0212 | 13.0 | 1326 | 1.8370 | 0.6551 | 0.6545 | 0.6551 | 0.6472 |
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- | 0.0154 | 14.0 | 1428 | 1.8450 | 0.6649 | 0.6703 | 0.6649 | 0.6583 |
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- | 0.0107 | 15.0 | 1530 | 1.8809 | 0.6569 | 0.6572 | 0.6569 | 0.6494 |
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- | 0.0096 | 16.0 | 1632 | 1.8759 | 0.6594 | 0.6651 | 0.6594 | 0.6539 |
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- | 0.0074 | 17.0 | 1734 | 1.9035 | 0.6652 | 0.6704 | 0.6652 | 0.6597 |
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- | 0.0067 | 18.0 | 1836 | 1.9184 | 0.6636 | 0.6672 | 0.6636 | 0.6565 |
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- | 0.0059 | 19.0 | 1938 | 1.9216 | 0.6603 | 0.6640 | 0.6603 | 0.6540 |
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- | 0.005 | 20.0 | 2040 | 1.9210 | 0.6612 | 0.6636 | 0.6612 | 0.6548 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - precision
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  - recall
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  - f1
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+ - accuracy
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  model-index:
11
  - name: roberta-finetuned-intention-prediction-es
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  results: []
 
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  This model is a fine-tuned version of [MMG/mlm-spanish-roberta-base](https://huggingface.co/MMG/mlm-spanish-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7531
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+ - Precision: 0.7331
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+ - Recall: 0.7331
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+ - F1: 0.7331
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+ - Accuracy: 0.7232
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 1.878 | 1.0 | 102 | 1.2561 | 0.6630 | 0.6630 | 0.6630 | 0.6464 |
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+ | 1.0292 | 2.0 | 204 | 1.1108 | 0.7005 | 0.7005 | 0.7005 | 0.6855 |
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+ | 0.7035 | 3.0 | 306 | 1.0948 | 0.7215 | 0.7215 | 0.7215 | 0.7067 |
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+ | 0.4985 | 4.0 | 408 | 1.0831 | 0.7177 | 0.7177 | 0.7177 | 0.7045 |
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+ | 0.3357 | 5.0 | 510 | 1.1830 | 0.7288 | 0.7288 | 0.7288 | 0.7145 |
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+ | 0.2414 | 6.0 | 612 | 1.2706 | 0.7194 | 0.7194 | 0.7194 | 0.7060 |
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+ | 0.1712 | 7.0 | 714 | 1.3205 | 0.7328 | 0.7328 | 0.7328 | 0.7223 |
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+ | 0.1238 | 8.0 | 816 | 1.4237 | 0.7290 | 0.7290 | 0.7290 | 0.7177 |
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+ | 0.0845 | 9.0 | 918 | 1.4820 | 0.7271 | 0.7271 | 0.7271 | 0.7168 |
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+ | 0.0627 | 10.0 | 1020 | 1.5436 | 0.7204 | 0.7204 | 0.7204 | 0.7099 |
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+ | 0.0509 | 11.0 | 1122 | 1.5653 | 0.7311 | 0.7311 | 0.7311 | 0.7212 |
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+ | 0.0366 | 12.0 | 1224 | 1.5724 | 0.7268 | 0.7268 | 0.7268 | 0.7175 |
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+ | 0.023 | 13.0 | 1326 | 1.6088 | 0.7273 | 0.7273 | 0.7273 | 0.7170 |
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+ | 0.02 | 14.0 | 1428 | 1.6797 | 0.7346 | 0.7346 | 0.7346 | 0.7239 |
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+ | 0.0144 | 15.0 | 1530 | 1.7203 | 0.7369 | 0.7369 | 0.7369 | 0.7266 |
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+ | 0.0103 | 16.0 | 1632 | 1.7330 | 0.7302 | 0.7302 | 0.7302 | 0.7208 |
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+ | 0.0087 | 17.0 | 1734 | 1.7284 | 0.7293 | 0.7293 | 0.7293 | 0.7194 |
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+ | 0.008 | 18.0 | 1836 | 1.7434 | 0.7380 | 0.7380 | 0.7380 | 0.7280 |
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+ | 0.0059 | 19.0 | 1938 | 1.7642 | 0.7355 | 0.7355 | 0.7355 | 0.7261 |
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+ | 0.0055 | 20.0 | 2040 | 1.7531 | 0.7331 | 0.7331 | 0.7331 | 0.7232 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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