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uploading food not food text classifier model

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.0000
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  - Accuracy: 1.0
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  ## Model description
@@ -50,21 +50,21 @@ 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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- | 0.0016 | 1.0 | 7 | 0.0004 | 1.0 |
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- | 0.0002 | 2.0 | 14 | 0.0001 | 1.0 |
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- | 0.0001 | 3.0 | 21 | 0.0001 | 1.0 |
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- | 0.0 | 4.0 | 28 | 0.0000 | 1.0 |
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- | 0.0 | 5.0 | 35 | 0.0000 | 1.0 |
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- | 0.0 | 6.0 | 42 | 0.0000 | 1.0 |
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- | 0.0 | 7.0 | 49 | 0.0000 | 1.0 |
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- | 0.0 | 8.0 | 56 | 0.0000 | 1.0 |
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- | 0.0 | 9.0 | 63 | 0.0000 | 1.0 |
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- | 0.0 | 10.0 | 70 | 0.0000 | 1.0 |
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  ### Framework versions
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  - Transformers 4.48.3
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  - Pytorch 2.5.1+cu124
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- - Datasets 3.3.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.0005
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  - Accuracy: 1.0
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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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+ | 0.4369 | 1.0 | 7 | 0.1137 | 0.98 |
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+ | 0.046 | 2.0 | 14 | 0.0074 | 1.0 |
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+ | 0.0055 | 3.0 | 21 | 0.0024 | 1.0 |
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+ | 0.002 | 4.0 | 28 | 0.0012 | 1.0 |
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+ | 0.0012 | 5.0 | 35 | 0.0008 | 1.0 |
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+ | 0.0009 | 6.0 | 42 | 0.0007 | 1.0 |
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+ | 0.0007 | 7.0 | 49 | 0.0006 | 1.0 |
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+ | 0.0007 | 8.0 | 56 | 0.0005 | 1.0 |
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+ | 0.0006 | 9.0 | 63 | 0.0005 | 1.0 |
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+ | 0.0006 | 10.0 | 70 | 0.0005 | 1.0 |
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  ### Framework versions
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  - Transformers 4.48.3
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  - Pytorch 2.5.1+cu124
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+ - Datasets 3.3.2
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  - Tokenizers 0.21.0
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