sergiomvazq commited on
Commit
50b3cc1
1 Parent(s): aea5502

End of training

Browse files
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3255
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- - Accuracy: 0.8667
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- - F1: 0.7333
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- - Precision: 0.8148
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- - Recall: 0.6667
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  ## Model description
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@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 25 | 0.4956 | 0.7667 | 0.4167 | 0.6667 | 0.3030 |
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- | No log | 2.0 | 50 | 0.4877 | 0.7667 | 0.4167 | 0.6667 | 0.3030 |
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- | No log | 3.0 | 75 | 0.4476 | 0.7667 | 0.4167 | 0.6667 | 0.3030 |
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- | No log | 4.0 | 100 | 0.4332 | 0.7833 | 0.4800 | 0.7059 | 0.3636 |
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- | No log | 5.0 | 125 | 0.3847 | 0.8167 | 0.6071 | 0.7391 | 0.5152 |
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- | No log | 6.0 | 150 | 0.3680 | 0.8583 | 0.7302 | 0.7667 | 0.6970 |
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- | No log | 7.0 | 175 | 0.3332 | 0.8667 | 0.7500 | 0.7742 | 0.7273 |
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- | No log | 8.0 | 200 | 0.3545 | 0.85 | 0.7000 | 0.7778 | 0.6364 |
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- | No log | 9.0 | 225 | 0.3255 | 0.8667 | 0.7333 | 0.8148 | 0.6667 |
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- | No log | 10.0 | 250 | 0.3322 | 0.8583 | 0.7213 | 0.7857 | 0.6667 |
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  ### Framework versions
 
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21
  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
22
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0221
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+ - Accuracy: 0.9919
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+ - F1: 0.3922
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+ - Precision: 0.6667
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+ - Recall: 0.2778
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29
  ## Model description
30
 
 
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56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 25 | 0.4442 | 0.9516 | 0.1475 | 0.0884 | 0.4444 |
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+ | No log | 2.0 | 50 | 0.1757 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 3.0 | 75 | 0.0655 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 4.0 | 100 | 0.0378 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 5.0 | 125 | 0.0292 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 6.0 | 150 | 0.0255 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 7.0 | 175 | 0.0238 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 8.0 | 200 | 0.0227 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 9.0 | 225 | 0.0222 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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+ | No log | 10.0 | 250 | 0.0221 | 0.9919 | 0.3922 | 0.6667 | 0.2778 |
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  ### Framework versions
config.json CHANGED
@@ -8,26 +8,520 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "1": "staff",
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- "2": "clothes",
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- "3": "shop",
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- "4": "cash desk",
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- "5": "fitting rooms",
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- "6": "queue",
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- "7": "others"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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- "cash desk": 4,
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- "clothes": 2,
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- "fitting rooms": 5,
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- "others": 7,
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- "queue": 6,
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- "shop": 3,
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- "staff": 1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  "layer_norm_eps": 1e-07,
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  "max_position_embeddings": 512,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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