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trainerH

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End of training

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Files changed (26) hide show
  1. README.md +28 -4
  2. config.json +1 -0
  3. model.safetensors +1 -1
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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: trainerH
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  results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # trainerH
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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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  ## Model description
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@@ -32,13 +43,26 @@ 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: 5e-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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  - 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: 4
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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  model-index:
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  - name: trainerH
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  results: []
 
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  # trainerH
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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: 0.6698
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+ - Precision: 0.7712
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+ - Recall: 0.7675
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+ - F1: 0.7666
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+ - Accuracy: 0.7675
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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: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 1.5988 | 1.07 | 30 | 1.4178 | 0.5664 | 0.5546 | 0.5376 | 0.5546 |
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+ | 1.2041 | 2.14 | 60 | 1.0819 | 0.7207 | 0.7115 | 0.7044 | 0.7115 |
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+ | 0.9136 | 3.21 | 90 | 0.9019 | 0.7333 | 0.7283 | 0.7247 | 0.7283 |
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+ | 0.7129 | 4.29 | 120 | 0.7956 | 0.7549 | 0.7479 | 0.7443 | 0.7479 |
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+ | 0.5666 | 5.36 | 150 | 0.7209 | 0.7689 | 0.7647 | 0.7626 | 0.7647 |
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+ | 0.4664 | 6.43 | 180 | 0.6858 | 0.7697 | 0.7647 | 0.7634 | 0.7647 |
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+ | 0.4267 | 7.5 | 210 | 0.6698 | 0.7712 | 0.7675 | 0.7666 | 0.7675 |
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+
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  ### Framework versions
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config.json CHANGED
@@ -32,6 +32,7 @@
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  "n_heads": 12,
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  "n_layers": 6,
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  "pad_token_id": 0,
 
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  "qa_dropout": 0.1,
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
 
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  "n_heads": 12,
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  "n_layers": 6,
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  "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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  "qa_dropout": 0.1,
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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