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eskayML
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interview_classifier

Text Classification
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distilbert
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eskayML/interview_classifier

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  1. README.md +22 -24
  2. model.safetensors +1 -1
  3. runs/Jul04_10-59-22_0e9ed6c0f9ab/events.out.tfevents.1720090763.0e9ed6c0f9ab.907.15 +0 -0
  4. training_args.bin +0 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0333
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- - Accuracy: 1.0
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  ## Model description
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@@ -37,38 +37,36 @@ 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: 2
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  - eval_batch_size: 2
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 54 | 2.2119 | 0.1852 |
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- | No log | 2.0 | 108 | 2.0620 | 0.3704 |
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- | No log | 3.0 | 162 | 1.7627 | 0.7037 |
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- | No log | 4.0 | 216 | 1.4448 | 0.7685 |
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- | No log | 5.0 | 270 | 1.1397 | 0.8889 |
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- | No log | 6.0 | 324 | 0.8434 | 0.9167 |
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- | No log | 7.0 | 378 | 0.6044 | 0.9444 |
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- | No log | 8.0 | 432 | 0.4223 | 0.9907 |
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- | No log | 9.0 | 486 | 0.2967 | 0.9907 |
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- | 1.3767 | 10.0 | 540 | 0.2077 | 0.9907 |
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- | 1.3767 | 11.0 | 594 | 0.1528 | 1.0 |
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- | 1.3767 | 12.0 | 648 | 0.1135 | 1.0 |
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- | 1.3767 | 13.0 | 702 | 0.0851 | 1.0 |
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- | 1.3767 | 14.0 | 756 | 0.0661 | 1.0 |
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- | 1.3767 | 15.0 | 810 | 0.0548 | 1.0 |
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- | 1.3767 | 16.0 | 864 | 0.0449 | 1.0 |
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- | 1.3767 | 17.0 | 918 | 0.0399 | 1.0 |
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- | 1.3767 | 18.0 | 972 | 0.0358 | 1.0 |
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- | 0.1191 | 19.0 | 1026 | 0.0339 | 1.0 |
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- | 0.1191 | 20.0 | 1080 | 0.0333 | 1.0 |
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  ### Framework versions
 
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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: 0.5597
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+ - Accuracy: 0.9630
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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: 2
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  - eval_batch_size: 2
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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: 18
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 54 | 2.2273 | 0.2130 |
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+ | No log | 2.0 | 108 | 2.1305 | 0.3148 |
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+ | No log | 3.0 | 162 | 1.9882 | 0.6204 |
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+ | No log | 4.0 | 216 | 1.8126 | 0.6852 |
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+ | No log | 5.0 | 270 | 1.6344 | 0.7593 |
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+ | No log | 6.0 | 324 | 1.4635 | 0.8241 |
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+ | No log | 7.0 | 378 | 1.3043 | 0.8426 |
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+ | No log | 8.0 | 432 | 1.1541 | 0.8796 |
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+ | No log | 9.0 | 486 | 1.0312 | 0.8889 |
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+ | 1.7754 | 10.0 | 540 | 0.9199 | 0.9074 |
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+ | 1.7754 | 11.0 | 594 | 0.8311 | 0.9259 |
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+ | 1.7754 | 12.0 | 648 | 0.7500 | 0.9259 |
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+ | 1.7754 | 13.0 | 702 | 0.6884 | 0.9444 |
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+ | 1.7754 | 14.0 | 756 | 0.6391 | 0.9444 |
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+ | 1.7754 | 15.0 | 810 | 0.6049 | 0.9537 |
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+ | 1.7754 | 16.0 | 864 | 0.5796 | 0.9537 |
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+ | 1.7754 | 17.0 | 918 | 0.5652 | 0.9630 |
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+ | 1.7754 | 18.0 | 972 | 0.5597 | 0.9630 |
 
 
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  ### Framework versions
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