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End of training

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  1. README.md +4 -4
  2. config.json +13 -13
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7130
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- - Accuracy: 0.7894
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  ## Model description
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@@ -49,8 +49,8 @@ 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 | 395 | 0.7772 | 0.7788 |
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- | 1.202 | 2.0 | 790 | 0.6874 | 0.8040 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7476
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+ - Accuracy: 0.7753
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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 | 395 | 0.8300 | 0.7663 |
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+ | 1.2776 | 2.0 | 790 | 0.7021 | 0.7981 |
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  ### Framework versions
config.json CHANGED
@@ -9,19 +9,19 @@
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2",
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- "3": "LABEL_3",
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- "4": "LABEL_4",
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- "5": "LABEL_5",
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- "6": "LABEL_6",
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- "7": "LABEL_7",
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- "8": "LABEL_8",
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- "9": "LABEL_9",
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- "10": "LABEL_10",
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- "11": "LABEL_11",
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- "12": "LABEL_12"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
 
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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+ "0": "opinion",
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+ "1": "appreciation",
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+ "2": "complaint",
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+ "3": "dev_command",
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+ "4": "statement",
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+ "5": "other_answers",
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+ "6": "neg_answer",
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+ "7": "comment",
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+ "8": "open_question_factual",
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+ "9": "open_question_opinion",
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+ "10": "command",
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+ "11": "yes_no_question",
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+ "12": "pos_answer"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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training_args.bin CHANGED
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