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dany0407
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token_classification_NER

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
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xet
 Metrics Community
dany0407 commited on
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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: dany0407/token_classification_NER
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # token_classification_NER
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- This model is a fine-tuned version of [dany0407/token_classification_NER](https://huggingface.co/dany0407/token_classification_NER) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3086
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- - Precision: 0.5215
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- - Recall: 0.3939
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- - F1: 0.4488
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- - Accuracy: 0.9461
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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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 | 213 | 0.2594 | 0.6151 | 0.3095 | 0.4118 | 0.9428 |
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- | No log | 2.0 | 426 | 0.2813 | 0.5541 | 0.3466 | 0.4265 | 0.9444 |
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- | 0.0965 | 3.0 | 639 | 0.3013 | 0.5584 | 0.3587 | 0.4368 | 0.9455 |
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- | 0.0965 | 4.0 | 852 | 0.3036 | 0.5416 | 0.3865 | 0.4511 | 0.9463 |
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- | 0.0375 | 5.0 | 1065 | 0.3086 | 0.5215 | 0.3939 | 0.4488 | 0.9461 |
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  ### Framework versions
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  - Transformers 4.53.3
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- - Pytorch 2.6.0+cu124
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  - Datasets 4.0.0
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- - Tokenizers 0.21.2
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # token_classification_NER
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2953
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+ - Precision: 0.5219
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+ - Recall: 0.3652
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+ - F1: 0.4297
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+ - Accuracy: 0.9454
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  ## Model description
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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 | 213 | 0.2830 | 0.6282 | 0.2725 | 0.3801 | 0.9404 |
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+ | No log | 2.0 | 426 | 0.2657 | 0.5408 | 0.3133 | 0.3967 | 0.9427 |
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+ | 0.178 | 3.0 | 639 | 0.2892 | 0.5566 | 0.3281 | 0.4128 | 0.9448 |
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+ | 0.178 | 4.0 | 852 | 0.2948 | 0.5483 | 0.3522 | 0.4289 | 0.9456 |
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+ | 0.0505 | 5.0 | 1065 | 0.2953 | 0.5219 | 0.3652 | 0.4297 | 0.9454 |
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  ### Framework versions
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  - Transformers 4.53.3
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+ - Pytorch 2.10.0+cu128
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  - Datasets 4.0.0
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+ - Tokenizers 0.21.4
model.safetensors CHANGED
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