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skylord/distillbert-talk2loop

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  1. README.md +5 -5
  2. config.json +0 -16
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ 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: 0.4817
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- - Accuracy: 0.9808
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- - F1: 0.9808
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  ## Model description
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@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.2397 | 1.0 | 28 | 0.7445 | 0.9615 | 0.9617 |
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- | 0.6008 | 2.0 | 56 | 0.4817 | 0.9808 | 0.9808 |
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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: 0.1715
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+ - Accuracy: 0.9615
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+ - F1: 0.9615
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.548 | 1.0 | 28 | 0.2977 | 0.9808 | 0.9808 |
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+ | 0.2369 | 2.0 | 56 | 0.1715 | 0.9615 | 0.9615 |
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  ### Framework versions
config.json CHANGED
@@ -8,23 +8,7 @@
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  "dim": 768,
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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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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- },
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  "initializer_range": 0.02,
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- "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2,
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- "LABEL_3": 3,
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- "LABEL_4": 4,
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- "LABEL_5": 5
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- },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "n_heads": 12,
 
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  "dim": 768,
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  "dropout": 0.1,
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  "hidden_dim": 3072,
 
 
 
 
 
 
 
 
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  "initializer_range": 0.02,
 
 
 
 
 
 
 
 
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "n_heads": 12,
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