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aift-model-review-multiple-label-classification

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README.md CHANGED
@@ -15,8 +15,8 @@ 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: 0.9723
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- - Accuracy Thresh: 0.9618
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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- | No log | 1.0 | 281 | 1.0629 | 0.8503 |
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- | 1.6753 | 2.0 | 562 | 0.7421 | 0.9170 |
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- | 1.6753 | 3.0 | 843 | 0.6251 | 0.9245 |
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- | 0.5414 | 4.0 | 1124 | 0.7125 | 0.9447 |
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- | 0.5414 | 5.0 | 1405 | 0.8233 | 0.9541 |
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- | 0.3283 | 6.0 | 1686 | 0.8517 | 0.9586 |
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- | 0.3283 | 7.0 | 1967 | 0.8811 | 0.9616 |
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- | 0.2346 | 8.0 | 2248 | 0.9067 | 0.9618 |
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- | 0.1694 | 9.0 | 2529 | 0.9668 | 0.9604 |
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- | 0.1694 | 10.0 | 2810 | 0.9723 | 0.9618 |
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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: 0.9914
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+ - Accuracy Thresh: 0.9336
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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+ | No log | 1.0 | 70 | 0.9565 | 0.8721 |
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+ | No log | 2.0 | 140 | 0.8502 | 0.8907 |
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+ | No log | 3.0 | 210 | 0.8939 | 0.9064 |
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+ | No log | 4.0 | 280 | 0.8814 | 0.9236 |
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+ | No log | 5.0 | 350 | 0.8374 | 0.9164 |
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+ | No log | 6.0 | 420 | 0.9718 | 0.9286 |
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+ | No log | 7.0 | 490 | 0.9207 | 0.9293 |
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+ | 0.5144 | 8.0 | 560 | 0.9008 | 0.9321 |
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+ | 0.5144 | 9.0 | 630 | 0.9761 | 0.9321 |
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+ | 0.5144 | 10.0 | 700 | 0.9914 | 0.9336 |
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  ### Framework versions
config.json CHANGED
@@ -15,20 +15,22 @@
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  "3": "gameplay",
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  "4": "others",
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  "5": "request",
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- "6": "neutral",
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  "7": "negative",
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- "8": "positive"
 
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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  "ads": 0,
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  "bugs": 1,
 
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  "gameplay": 3,
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  "graphic": 2,
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  "negative": 7,
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- "neutral": 6,
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  "others": 4,
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- "positive": 8,
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  "request": 5
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  },
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  "max_position_embeddings": 512,
 
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  "3": "gameplay",
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  "4": "others",
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  "5": "request",
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+ "6": "positive",
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  "7": "negative",
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+ "8": "neutral",
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+ "9": "feedback"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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  "ads": 0,
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  "bugs": 1,
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+ "feedback": 9,
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  "gameplay": 3,
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  "graphic": 2,
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  "negative": 7,
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+ "neutral": 8,
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  "others": 4,
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+ "positive": 6,
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  "request": 5
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  },
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  "max_position_embeddings": 512,
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