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Text Classification
Transformers
Safetensors
bert
Generated from Trainer
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End of training

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  1. README.md +27 -2
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,11 @@ license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: training
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  results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # training
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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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  ## Model description
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@@ -38,13 +49,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 7 | 0.4005 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: training
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  results: []
 
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  # training
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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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+ - Loss: 0.5309
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+ - Accuracy: 0.8626
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+ - F1: 0.8041
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+ - Precision: 0.7530
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+ - Recall: 0.8626
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 7 | 0.4054 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 2.0 | 14 | 0.4137 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 3.0 | 21 | 0.4167 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 4.0 | 28 | 0.4263 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 5.0 | 35 | 0.4274 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 6.0 | 42 | 0.4414 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 7.0 | 49 | 0.4516 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 8.0 | 56 | 0.4598 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 9.0 | 63 | 0.4786 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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+ | No log | 10.0 | 70 | 0.4823 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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+ | No log | 11.0 | 77 | 0.4963 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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+ | No log | 12.0 | 84 | 0.5107 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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+ | No log | 13.0 | 91 | 0.5220 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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+ | No log | 14.0 | 98 | 0.5294 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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+ | No log | 15.0 | 105 | 0.5309 | 0.8626 | 0.8041 | 0.7530 | 0.8626 |
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  ### Framework versions
model.safetensors CHANGED
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