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BennB
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distilbert-base-uncased-custom

Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
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BennB commited on
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End of training

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Files changed (4) hide show
  1. README.md +10 -10
  2. config.json +6 -6
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
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 [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: 0.0914
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- - Precision: 0.9662
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- - Recall: 0.9470
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- - F1: 0.9565
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- - Accuracy: 0.9953
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 10 | 0.4124 | 0.5690 | 0.4371 | 0.4944 | 0.8733 |
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- | No log | 2.0 | 20 | 0.1510 | 0.9236 | 0.8808 | 0.9017 | 0.9884 |
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- | No log | 3.0 | 30 | 0.0914 | 0.9662 | 0.9470 | 0.9565 | 0.9953 |
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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: 0.0006
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+ - Precision: 1.0
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+ - Recall: 1.0
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+ - F1: 1.0
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+ - Accuracy: 1.0
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 50 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 100 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 150 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
config.json CHANGED
@@ -9,15 +9,15 @@
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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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  },
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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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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
 
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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+ "0": "DESC",
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+ "1": "DATE",
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+ "2": "CURRENCY"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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+ "CURRENCY": 2,
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+ "DATE": 1,
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+ "DESC": 0
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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