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test_model

Text Classification
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bert
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  1. README.md +7 -7
  2. config.json +22 -22
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README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 1.4401
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- - F1: 0.6002
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  ## Model description
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@@ -36,8 +36,8 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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- - train_batch_size: 64
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 176 | 1.2690 | 0.5778 |
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- | 1.5547 | 2.0 | 352 | 1.3403 | 0.5824 |
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- | 0.9024 | 3.0 | 528 | 1.4401 | 0.6002 |
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55
 
56
  ### Framework versions
 
16
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 1.4334
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+ - F1: 0.6046
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22
  ## Model description
23
 
 
36
  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5.026095286203108e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 16
42
  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
48
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.3881 | 1.0 | 701 | 1.3800 | 0.5702 |
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+ | 0.9158 | 2.0 | 1402 | 1.3474 | 0.5931 |
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+ | 0.6242 | 3.0 | 2103 | 1.4334 | 0.6046 |
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55
 
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  ### Framework versions
config.json CHANGED
@@ -10,32 +10,32 @@
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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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- "0": "none",
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- "1": "like",
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- "10": "express_abashed",
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- "2": "unlike",
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- "3": "hope",
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- "4": "questioning",
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- "5": "express_surprise",
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- "6": "normal_interaction",
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- "7": "express_sad",
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- "8": "tease",
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- "9": "meme"
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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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- "express_abashed": "10",
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- "express_sad": "7",
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- "express_surprise": "5",
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- "hope": "3",
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- "meme": "9",
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- "none": "0",
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- "normal_interaction": "6",
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- "questioning": "4",
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- "tease": "8",
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- "unlike": "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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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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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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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "LABEL_10": 10,
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+ "LABEL_7": 7,
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+ "LABEL_8": 8,
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+ "LABEL_9": 9
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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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