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adriansanz
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2404v6

Text Classification
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roberta
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newmodel

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  1. README.md +14 -22
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5736
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- - Accuracy: 0.8487
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- - Precision: 0.8491
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- - Recall: 0.8487
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- - F1: 0.8487
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- - Ratio: 0.4832
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  ## Model description
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@@ -54,28 +54,20 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.06
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  - lr_scheduler_warmup_steps: 4
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- - num_epochs: 4
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  - label_smoothing_factor: 0.1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | 3.6992 | 0.2597 | 10 | 1.6456 | 0.5378 | 0.5416 | 0.5378 | 0.5270 | 0.3487 |
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- | 1.4527 | 0.5195 | 20 | 1.1248 | 0.5336 | 0.5398 | 0.5336 | 0.5147 | 0.6975 |
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- | 0.9494 | 0.7792 | 30 | 0.9286 | 0.5756 | 0.6051 | 0.5756 | 0.5437 | 0.7647 |
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- | 0.9076 | 1.0390 | 40 | 0.8154 | 0.6849 | 0.6855 | 0.6849 | 0.6846 | 0.5294 |
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- | 0.8356 | 1.2987 | 50 | 0.7335 | 0.7647 | 0.7659 | 0.7647 | 0.7644 | 0.5336 |
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- | 0.7475 | 1.5584 | 60 | 0.7286 | 0.7437 | 0.7803 | 0.7437 | 0.7350 | 0.6807 |
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- | 0.7234 | 1.8182 | 70 | 0.6457 | 0.8025 | 0.8027 | 0.8025 | 0.8025 | 0.4874 |
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- | 0.67 | 2.0779 | 80 | 0.6208 | 0.8025 | 0.8043 | 0.8025 | 0.8022 | 0.5378 |
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- | 0.5994 | 2.3377 | 90 | 0.6106 | 0.8235 | 0.8236 | 0.8235 | 0.8235 | 0.4916 |
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- | 0.666 | 2.5974 | 100 | 0.5912 | 0.8361 | 0.8363 | 0.8361 | 0.8361 | 0.5126 |
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- | 0.6142 | 2.8571 | 110 | 0.5853 | 0.8319 | 0.8320 | 0.8319 | 0.8319 | 0.5084 |
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- | 0.6181 | 3.1169 | 120 | 0.5866 | 0.8361 | 0.8373 | 0.8361 | 0.8360 | 0.5294 |
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- | 0.5555 | 3.3766 | 130 | 0.5762 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.4748 |
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- | 0.5658 | 3.6364 | 140 | 0.5751 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.4748 |
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- | 0.5777 | 3.8961 | 150 | 0.5736 | 0.8487 | 0.8491 | 0.8487 | 0.8487 | 0.4832 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5939
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+ - Accuracy: 0.8445
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+ - Precision: 0.8451
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+ - Recall: 0.8445
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+ - F1: 0.8445
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+ - Ratio: 0.4790
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.06
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  - lr_scheduler_warmup_steps: 4
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+ - num_epochs: 2
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  - label_smoothing_factor: 0.1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | 0.5731 | 0.2597 | 10 | 0.5646 | 0.8613 | 0.8645 | 0.8613 | 0.8610 | 0.4538 |
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+ | 0.5515 | 0.5195 | 20 | 0.5569 | 0.8613 | 0.8626 | 0.8613 | 0.8612 | 0.4706 |
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+ | 0.5164 | 0.7792 | 30 | 0.6079 | 0.8277 | 0.8363 | 0.8277 | 0.8266 | 0.5798 |
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+ | 0.5641 | 1.0390 | 40 | 0.5728 | 0.8571 | 0.8608 | 0.8571 | 0.8568 | 0.4496 |
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+ | 0.4665 | 1.2987 | 50 | 0.5992 | 0.8403 | 0.8407 | 0.8403 | 0.8403 | 0.5168 |
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+ | 0.4632 | 1.5584 | 60 | 0.5990 | 0.8613 | 0.8634 | 0.8613 | 0.8611 | 0.4622 |
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+ | 0.4456 | 1.8182 | 70 | 0.5939 | 0.8445 | 0.8451 | 0.8445 | 0.8445 | 0.4790 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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