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bert_essay

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eovdedn/bert_essay

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  1. README.md +12 -19
  2. model.safetensors +1 -1
  3. runs/May03_00-57-15_c8cfacab6a72/events.out.tfevents.1714697835.c8cfacab6a72.34.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: distilbert/distilbert-base-uncased
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  metrics:
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  - accuracy
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  model-index:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.3910
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- - Mse: 0.3910
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- - Mae: 0.4864
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- - R2: 0.6456
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- - Accuracy: 0.2734
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  ## Model description
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@@ -41,27 +41,20 @@ 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: 16
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- - eval_batch_size: 16
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
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- | 0.6884 | 1.0 | 866 | 0.3664 | 0.3664 | 0.4744 | 0.6679 | 0.2812 |
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- | 0.3801 | 2.0 | 1732 | 0.3550 | 0.3550 | 0.4630 | 0.6782 | 0.2822 |
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- | 0.3063 | 3.0 | 2598 | 0.3723 | 0.3723 | 0.4736 | 0.6626 | 0.2761 |
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- | 0.2386 | 4.0 | 3464 | 0.3965 | 0.3965 | 0.4895 | 0.6406 | 0.2697 |
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- | 0.1751 | 5.0 | 4330 | 0.3718 | 0.3718 | 0.4732 | 0.6630 | 0.2754 |
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- | 0.1335 | 6.0 | 5196 | 0.3815 | 0.3815 | 0.4793 | 0.6542 | 0.2759 |
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- | 0.102 | 7.0 | 6062 | 0.3872 | 0.3872 | 0.4835 | 0.6490 | 0.2813 |
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- | 0.0879 | 8.0 | 6928 | 0.3998 | 0.3998 | 0.4911 | 0.6376 | 0.2707 |
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- | 0.0718 | 9.0 | 7794 | 0.3892 | 0.3892 | 0.4848 | 0.6472 | 0.2728 |
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- | 0.0621 | 10.0 | 8660 | 0.3910 | 0.3910 | 0.4864 | 0.6456 | 0.2734 |
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  ### Framework versions
 
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  ---
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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:
7
  - accuracy
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  model-index:
 
17
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.3554
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+ - Mse: 0.3554
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+ - Mae: 0.4632
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+ - R2: 0.6556
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+ - Accuracy: 0.2821
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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: 32
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+ - eval_batch_size: 32
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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 | Mse | Mae | R2 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 433 | 0.3749 | 0.3749 | 0.4772 | 0.6367 | 0.2992 |
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+ | 0.6371 | 2.0 | 866 | 0.3572 | 0.3572 | 0.4653 | 0.6539 | 0.2848 |
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+ | 0.3565 | 3.0 | 1299 | 0.3554 | 0.3554 | 0.4632 | 0.6556 | 0.2821 |
 
 
 
 
 
 
 
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  ### Framework versions
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