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distilbert_finetune_own_data_model

Token Classification
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distilbert
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End of training

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  1. README.md +37 -37
  2. config.json +4 -2
  3. model.safetensors +2 -2
  4. runs/Mar04_05-03-45_996c68d38b2c/events.out.tfevents.1709528653.996c68d38b2c.384.0 +3 -0
  5. runs/Mar04_05-03-45_996c68d38b2c/events.out.tfevents.1709528669.996c68d38b2c.384.1 +3 -0
  6. 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: 0.0000
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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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@@ -53,38 +53,38 @@ 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 | 5 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 10 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 15 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 20 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 25 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 30 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 35 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 40 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 45 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 50 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 11.0 | 55 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 12.0 | 60 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 13.0 | 65 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 14.0 | 70 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 15.0 | 75 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 16.0 | 80 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 17.0 | 85 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 18.0 | 90 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 19.0 | 95 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 20.0 | 100 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 21.0 | 105 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 22.0 | 110 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 23.0 | 115 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 24.0 | 120 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 25.0 | 125 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 26.0 | 130 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 27.0 | 135 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 28.0 | 140 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 29.0 | 145 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 30.0 | 150 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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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: 0.1074
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+ - Precision: 0.6
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+ - Recall: 0.75
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+ - F1: 0.6667
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+ - Accuracy: 0.9333
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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 | 7 | 0.8596 | 1.0 | 0.125 | 0.2222 | 0.6 |
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+ | No log | 2.0 | 14 | 0.8043 | 1.0 | 0.125 | 0.2222 | 0.6 |
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+ | No log | 3.0 | 21 | 0.6596 | 0.2727 | 0.375 | 0.3158 | 0.8333 |
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+ | No log | 4.0 | 28 | 0.5532 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 5.0 | 35 | 0.5188 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 6.0 | 42 | 0.4703 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 7.0 | 49 | 0.4387 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 8.0 | 56 | 0.3527 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 9.0 | 63 | 0.2744 | 0.2308 | 0.375 | 0.2857 | 0.8333 |
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+ | No log | 10.0 | 70 | 0.2429 | 0.3333 | 0.5 | 0.4 | 0.8667 |
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+ | No log | 11.0 | 77 | 0.2197 | 0.3333 | 0.5 | 0.4 | 0.8667 |
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+ | No log | 12.0 | 84 | 0.1991 | 0.4545 | 0.625 | 0.5263 | 0.9 |
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+ | No log | 13.0 | 91 | 0.1820 | 0.4545 | 0.625 | 0.5263 | 0.9 |
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+ | No log | 14.0 | 98 | 0.1570 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 15.0 | 105 | 0.1301 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 16.0 | 112 | 0.1153 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 17.0 | 119 | 0.1077 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 18.0 | 126 | 0.1108 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 19.0 | 133 | 0.1184 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 20.0 | 140 | 0.1174 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 21.0 | 147 | 0.1155 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 22.0 | 154 | 0.1105 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 23.0 | 161 | 0.1077 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 24.0 | 168 | 0.1061 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 25.0 | 175 | 0.1054 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 26.0 | 182 | 0.1062 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 27.0 | 189 | 0.1068 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 28.0 | 196 | 0.1074 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 29.0 | 203 | 0.1074 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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+ | No log | 30.0 | 210 | 0.1074 | 0.6 | 0.75 | 0.6667 | 0.9333 |
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  ### Framework versions
config.json CHANGED
@@ -10,11 +10,13 @@
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  "hidden_dim": 3072,
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  "id2label": {
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- "1": "CLASS"
 
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  "max_position_embeddings": 512,
 
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  "hidden_dim": 3072,
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  "id2label": {
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+ "1": "B-CLASS",
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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+ "B-CLASS": 1,
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