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End of training

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  1. .gitattributes +1 -0
  2. README.md +27 -0
  3. tokenizer.json +3 -0
  4. tokenizer_config.json +18 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -4,6 +4,11 @@ license: other
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  base_model: IIC/RigoBERTa-Clinical
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: RigoBERTa-Clinical_es_procedure
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  results: []
@@ -16,6 +21,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # RigoBERTa-Clinical_es_procedure
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  This model is a fine-tuned version of [IIC/RigoBERTa-Clinical](https://huggingface.co/IIC/RigoBERTa-Clinical) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -42,6 +53,22 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 10
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  ### Framework versions
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  - Transformers 5.4.0
 
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  base_model: IIC/RigoBERTa-Clinical
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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:
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  - name: RigoBERTa-Clinical_es_procedure
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  results: []
 
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  # RigoBERTa-Clinical_es_procedure
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  This model is a fine-tuned version of [IIC/RigoBERTa-Clinical](https://huggingface.co/IIC/RigoBERTa-Clinical) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0013
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+ - Precision: 0.9965
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+ - Recall: 0.9982
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+ - F1: 0.9973
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+ - Accuracy: 0.9997
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 10
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1097 | 1.0 | 739 | 0.0422 | 0.8979 | 0.8993 | 0.8986 | 0.9833 |
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+ | 0.0658 | 2.0 | 1478 | 0.0285 | 0.9237 | 0.9368 | 0.9302 | 0.9891 |
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+ | 0.0382 | 3.0 | 2217 | 0.0198 | 0.9278 | 0.9653 | 0.9462 | 0.9925 |
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+ | 0.0313 | 4.0 | 2956 | 0.0123 | 0.9652 | 0.9734 | 0.9693 | 0.9955 |
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+ | 0.0182 | 5.0 | 3695 | 0.0078 | 0.9786 | 0.9813 | 0.9799 | 0.9973 |
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+ | 0.0148 | 6.0 | 4434 | 0.0048 | 0.9850 | 0.9914 | 0.9882 | 0.9984 |
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+ | 0.0083 | 7.0 | 5173 | 0.0037 | 0.9907 | 0.9918 | 0.9913 | 0.9988 |
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+ | 0.0069 | 8.0 | 5912 | 0.0020 | 0.9944 | 0.9964 | 0.9954 | 0.9994 |
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+ | 0.0040 | 9.0 | 6651 | 0.0016 | 0.9961 | 0.9964 | 0.9962 | 0.9995 |
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+ | 0.0031 | 10.0 | 7390 | 0.0013 | 0.9965 | 0.9982 | 0.9973 | 0.9997 |
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+
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+
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  ### Framework versions
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  - Transformers 5.4.0
tokenizer.json ADDED
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+ size 17082832
tokenizer_config.json ADDED
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+ {
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+ "add_prefix_space": true,
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+ "backend": "tokenizers",
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "<s>",
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+ "is_local": false,
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+ "keep_accents": true,
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+ "mask_token": "<mask>",
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+ "model_max_len": 512,
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+ "pad_token": "<pad>",
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+ "tokenizer_class": "XLMRobertaTokenizer",
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+ "unk_token": "<unk>"
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