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Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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davidgaofc commited on
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End of training

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Files changed (3) hide show
  1. README.md +4 -17
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,11 +3,6 @@ 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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- 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: []
@@ -19,12 +14,6 @@ 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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- It achieves the following results on the evaluation set:
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- - Loss: 0.3974
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- - Accuracy: 0.8681
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- - F1: 0.8069
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- - Precision: 0.7537
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- - Recall: 0.8681
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  ## Model description
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@@ -44,20 +33,18 @@ More information needed
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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: 56
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- - eval_batch_size: 56
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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: 3
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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 | 13 | 0.3974 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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- | No log | 2.0 | 26 | 0.4154 | 0.8681 | 0.8069 | 0.7537 | 0.8681 |
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- | No log | 3.0 | 39 | 0.4061 | 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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  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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  ## Model description
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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: 104
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+ - eval_batch_size: 104
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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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training_args.bin CHANGED
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