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distilbert-base-uncased-finetuned-ner

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Training in progress epoch 2

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Files changed (4) hide show
  1. README.md +9 -7
  2. logs/train/events.out.tfevents.1658418926.matt-TRX40-AORUS-PRO-WIFI.36922.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1658418962.matt-TRX40-AORUS-PRO-WIFI.36922.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1966
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- - Validation Loss: 0.0701
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- - Train Precision: 0.9031
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- - Train Recall: 0.9223
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- - Train F1: 0.9126
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- - Train Accuracy: 0.9802
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.1966 | 0.0701 | 0.9031 | 0.9223 | 0.9126 | 0.9802 | 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0341
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+ - Validation Loss: 0.0591
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+ - Train Precision: 0.9226
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+ - Train Recall: 0.9351
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+ - Train F1: 0.9288
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+ - Train Accuracy: 0.9831
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.1966 | 0.0701 | 0.9031 | 0.9223 | 0.9126 | 0.9802 | 0 |
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+ | 0.0543 | 0.0614 | 0.9095 | 0.9325 | 0.9209 | 0.9822 | 1 |
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+ | 0.0341 | 0.0591 | 0.9226 | 0.9351 | 0.9288 | 0.9831 | 2 |
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  ### Framework versions
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