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anarodrdi
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clasificador-medical-biomedbert

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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anarodrdi/clasificador-medical-biomedbert

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Files changed (3) hide show
  1. README.md +5 -6
  2. model.safetensors +1 -1
  3. tokenizer.json +10 -1
README.md CHANGED
@@ -3,7 +3,6 @@ library_name: transformers
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  license: mit
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  base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
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  tags:
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- - classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -19,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9047
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- - Accuracy: 0.6514
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  ## Model description
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@@ -51,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 405 | 0.7987 | 0.6264 |
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- | 0.8499 | 2.0 | 810 | 0.8230 | 0.6333 |
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- | 0.5600 | 3.0 | 1215 | 0.9047 | 0.6514 |
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  ### Framework versions
 
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  license: mit
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  base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
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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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  This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9350
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+ - Accuracy: 0.6472
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 405 | 0.8226 | 0.6264 |
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+ | 0.8555 | 2.0 | 810 | 0.7807 | 0.6625 |
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+ | 0.5712 | 3.0 | 1215 | 0.9350 | 0.6472 |
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  ### Framework versions
model.safetensors CHANGED
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tokenizer.json CHANGED
@@ -6,7 +6,16 @@
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  "strategy": "LongestFirst",
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  "stride": 0
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  },
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- "padding": null,
 
 
 
 
 
 
 
 
 
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  "added_tokens": [
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  {
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  "id": 0,
 
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  "strategy": "LongestFirst",
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  "stride": 0
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  },
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+ "padding": {
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+ "strategy": {
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+ "Fixed": 256
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