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distilbert-base-uncased-finetuned-ingredients

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add model

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Files changed (7) hide show
  1. README.md +20 -20
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. runs/Sep11_08-25-51_99a39cb50201/1631348875.950971/events.out.tfevents.1631348875.99a39cb50201.75.1 +3 -0
  5. runs/Sep11_08-25-51_99a39cb50201/events.out.tfevents.1631348875.99a39cb50201.75.0 +3 -0
  6. runs/Sep11_08-25-51_99a39cb50201/events.out.tfevents.1631348936.99a39cb50201.75.2 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -22,16 +22,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.9847619047619047
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  - name: Recall
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  type: recall
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- value: 0.988527724665392
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  - name: F1
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  type: f1
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- value: 0.9866412213740458
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  - name: Accuracy
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  type: accuracy
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- value: 0.9974453590689754
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,11 +41,11 @@ 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 the ingredients_yes_no dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0138
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- - Precision: 0.9848
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- - Recall: 0.9885
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- - F1: 0.9866
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- - Accuracy: 0.9974
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  ## Model description
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@@ -76,21 +76,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 83 | 0.1004 | 0.8978 | 0.9235 | 0.9105 | 0.9807 |
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- | No log | 2.0 | 166 | 0.0237 | 0.9714 | 0.9751 | 0.9733 | 0.9940 |
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- | No log | 3.0 | 249 | 0.0204 | 0.9715 | 0.9771 | 0.9743 | 0.9929 |
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- | No log | 4.0 | 332 | 0.0138 | 0.9773 | 0.9866 | 0.9819 | 0.9969 |
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- | No log | 5.0 | 415 | 0.0137 | 0.9829 | 0.9866 | 0.9847 | 0.9969 |
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- | No log | 6.0 | 498 | 0.0134 | 0.9847 | 0.9866 | 0.9857 | 0.9972 |
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- | 0.0923 | 7.0 | 581 | 0.0160 | 0.9866 | 0.9885 | 0.9876 | 0.9972 |
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- | 0.0923 | 8.0 | 664 | 0.0147 | 0.9848 | 0.9885 | 0.9866 | 0.9974 |
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- | 0.0923 | 9.0 | 747 | 0.0139 | 0.9848 | 0.9885 | 0.9866 | 0.9974 |
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- | 0.0923 | 10.0 | 830 | 0.0138 | 0.9848 | 0.9885 | 0.9866 | 0.9974 |
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  ### Framework versions
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- - Transformers 4.10.0
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  - Pytorch 1.9.0+cu102
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  - Datasets 1.11.0
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  - Tokenizers 0.10.3
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.9865319865319865
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  - name: Recall
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  type: recall
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+ value: 0.9932203389830508
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  - name: F1
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  type: f1
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+ value: 0.9898648648648648
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9972885032537961
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ingredients_yes_no dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0100
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+ - Precision: 0.9865
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+ - Recall: 0.9932
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+ - F1: 0.9899
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+ - Accuracy: 0.9973
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 47 | 0.2822 | 0.4075 | 0.5525 | 0.4691 | 0.8932 |
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+ | No log | 2.0 | 94 | 0.0972 | 0.8429 | 0.8915 | 0.8666 | 0.9783 |
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+ | No log | 3.0 | 141 | 0.0223 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 4.0 | 188 | 0.0170 | 0.9798 | 0.9864 | 0.9831 | 0.9962 |
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+ | No log | 5.0 | 235 | 0.0136 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 6.0 | 282 | 0.0124 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 7.0 | 329 | 0.0121 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 8.0 | 376 | 0.0118 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 9.0 | 423 | 0.0107 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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+ | No log | 10.0 | 470 | 0.0100 | 0.9865 | 0.9932 | 0.9899 | 0.9973 |
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  ### Framework versions
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+ - Transformers 4.10.2
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  - Pytorch 1.9.0+cu102
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  - Datasets 1.11.0
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  - Tokenizers 0.10.3
config.json CHANGED
@@ -33,6 +33,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.10.0",
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  "vocab_size": 30522
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.10.2",
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  "vocab_size": 30522
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