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End of training

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README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.0001
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- - Accuracy: 1.0
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  ## Model description
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@@ -50,16 +50,16 @@ 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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- | 0.1348 | 1.0 | 350 | 0.0084 | 0.998 |
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- | 0.0214 | 2.0 | 700 | 0.0020 | 1.0 |
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- | 0.017 | 3.0 | 1050 | 0.0094 | 0.997 |
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- | 0.0117 | 4.0 | 1400 | 0.0005 | 1.0 |
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- | 0.0127 | 5.0 | 1750 | 0.0003 | 1.0 |
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- | 0.0099 | 6.0 | 2100 | 0.0004 | 1.0 |
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- | 0.0079 | 7.0 | 2450 | 0.0002 | 1.0 |
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- | 0.0052 | 8.0 | 2800 | 0.0002 | 1.0 |
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- | 0.0047 | 9.0 | 3150 | 0.0001 | 1.0 |
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- | 0.006 | 10.0 | 3500 | 0.0001 | 1.0 |
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  ### Framework versions
 
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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: 0.0034
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+ - Accuracy: 0.999
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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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+ | 0.1228 | 1.0 | 657 | 0.0123 | 0.997 |
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+ | 0.0172 | 2.0 | 1314 | 0.0088 | 0.999 |
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+ | 0.0127 | 3.0 | 1971 | 0.0051 | 0.999 |
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+ | 0.0068 | 4.0 | 2628 | 0.0037 | 0.999 |
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+ | 0.0073 | 5.0 | 3285 | 0.0048 | 0.999 |
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+ | 0.0088 | 6.0 | 3942 | 0.0046 | 0.999 |
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+ | 0.0054 | 7.0 | 4599 | 0.0021 | 0.999 |
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+ | 0.0048 | 8.0 | 5256 | 0.0037 | 0.999 |
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+ | 0.0055 | 9.0 | 5913 | 0.0037 | 0.999 |
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+ | 0.0048 | 10.0 | 6570 | 0.0034 | 0.999 |
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  ### Framework versions
config.json CHANGED
@@ -11,13 +11,15 @@
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  "hidden_size": 768,
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  "id2label": {
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  "0": "gardening",
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- "1": "furniture"
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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  "furniture": 1,
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- "gardening": 0
 
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "hidden_size": 768,
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  "id2label": {
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  "0": "gardening",
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+ "1": "furniture",
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+ "2": "healthcare"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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  "furniture": 1,
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+ "gardening": 0,
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+ "healthcare": 2
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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