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KiDoAIO
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my_awesome_model

Text Classification
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distilbert
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End of training

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  1. README.md +13 -7
  2. model.safetensors +1 -1
README.md CHANGED
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: my_awesome_model
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  results: []
@@ -17,8 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2285
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- - Accuracy: 0.9319
 
 
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2236 | 1.0 | 1563 | 0.1994 | 0.9243 |
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- | 0.1462 | 2.0 | 3126 | 0.2285 | 0.9319 |
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  ### Framework versions
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- - Transformers 4.41.0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: my_awesome_model
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  results: []
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2355
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+ - Accuracy: 0.9311
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+ - F1: 0.9315
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+ - Precision: 0.9263
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+ - Recall: 0.9368
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.2241 | 1.0 | 1563 | 0.1977 | 0.9258 | 0.9238 | 0.9490 | 0.8999 |
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+ | 0.1459 | 2.0 | 3126 | 0.2355 | 0.9311 | 0.9315 | 0.9263 | 0.9368 |
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  ### Framework versions
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+ - Transformers 4.40.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
model.safetensors CHANGED
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