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End of training

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  1. README.md +14 -14
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer_config.json +42 -0
  5. training_args.bin +2 -2
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-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0007
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- - Precision: 0.9968
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- - Recall: 0.9981
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- - F1: 0.9975
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- - Accuracy: 0.9996
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  ## Model description
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@@ -43,7 +43,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -53,16 +53,16 @@ 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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- | 0.0095 | 1.0 | 47891 | 0.0049 | 0.9828 | 0.9859 | 0.9844 | 0.9985 |
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- | 0.0024 | 2.0 | 95782 | 0.0018 | 0.9938 | 0.9959 | 0.9948 | 0.9994 |
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- | 0.0014 | 3.0 | 143673 | 0.0007 | 0.9968 | 0.9981 | 0.9975 | 0.9996 |
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  ### Framework versions
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- - Transformers 4.33.0
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- - Pytorch 2.0.0
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0287
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+ - Precision: 0.8882
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+ - Recall: 0.9279
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+ - F1: 0.9076
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+ - Accuracy: 0.9934
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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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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+ | 0.3007 | 1.0 | 882 | 0.0731 | 0.7217 | 0.7906 | 0.7546 | 0.9807 |
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+ | 0.0541 | 2.0 | 1764 | 0.0392 | 0.8475 | 0.9088 | 0.8771 | 0.9905 |
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+ | 0.0274 | 3.0 | 2646 | 0.0287 | 0.8882 | 0.9279 | 0.9076 | 0.9934 |
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json CHANGED
@@ -48,6 +48,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.33.0",
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  "vocab_size": 119547
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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  "vocab_size": 119547
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  }
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