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End of Training

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  1. README.md +1 -7
  2. config.json +40 -4
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,7 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [odunola/bert-based_cased-finetuned-financial-talk](https://huggingface.co/odunola/bert-based_cased-finetuned-financial-talk) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3664
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- - Validation Loss: 0.4419
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- - Epoch: 1
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  ## Model description
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@@ -41,10 +39,6 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Validation Loss | Epoch |
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- |:----------:|:---------------:|:-----:|
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- | 0.7412 | 0.4562 | 0 |
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- | 0.3664 | 0.4419 | 1 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [odunola/bert-based_cased-finetuned-financial-talk](https://huggingface.co/odunola/bert-based_cased-finetuned-financial-talk) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+
 
 
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  ## Model description
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  ### Training results
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  ### Framework versions
config.json CHANGED
@@ -10,14 +10,50 @@
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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": "unacceptable",
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- "1": "acceptable"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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- "acceptable": "1",
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- "unacceptable": "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_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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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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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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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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