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Palate-classifier

Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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End of training

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Files changed (4) hide show
  1. README.md +8 -12
  2. model.safetensors +1 -1
  3. runs/Apr23_11-56-08_9e2728f269b8/events.out.tfevents.1713873373.9e2728f269b8.34.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -4,9 +4,7 @@ base_model: google-bert/bert-base-uncased
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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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  model-index:
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  - name: Palate-classifier
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  results: []
@@ -19,10 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5011
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- - Precision: 0.8205
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- - Recall: 0.7537
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- - F1: 0.7857
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  ## Model description
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@@ -51,11 +47,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | 0.6008 | 1.0 | 2375 | 0.6195 | 0.8231 | 0.5699 | 0.6735 |
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- | 0.5086 | 2.0 | 4750 | 0.5160 | 0.7567 | 0.8452 | 0.7985 |
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- | 0.4424 | 3.0 | 7125 | 0.5011 | 0.8205 | 0.7537 | 0.7857 |
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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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+ - accuracy
 
 
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  model-index:
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  - name: Palate-classifier
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  results: []
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5824
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+ - Accuracy: 0.8612
 
 
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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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+ | 0.3797 | 1.0 | 2500 | 0.4659 | 0.8379 |
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+ | 0.318 | 2.0 | 5000 | 0.4107 | 0.8621 |
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+ | 0.2048 | 3.0 | 7500 | 0.5824 | 0.8612 |
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  ### Framework versions
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