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eskayML
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interview_classifier

Text Classification
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distilbert
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eskayML/bert_interview_new

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  1. README.md +8 -13
  2. model.safetensors +1 -1
  3. training_args.bin +0 -0
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.7181
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- - Accuracy: 0.8362
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  ## Model description
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@@ -44,22 +44,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.5731 | 1.0 | 579 | 2.3539 | 0.2888 |
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- | 2.2431 | 2.0 | 1158 | 1.8700 | 0.4526 |
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- | 1.8916 | 3.0 | 1737 | 1.5977 | 0.5302 |
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- | 1.5897 | 4.0 | 2316 | 1.2684 | 0.6509 |
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- | 1.485 | 5.0 | 2895 | 1.0863 | 0.6724 |
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- | 1.282 | 6.0 | 3474 | 0.9135 | 0.7716 |
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- | 1.0021 | 7.0 | 4053 | 0.8167 | 0.8103 |
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- | 0.9446 | 8.0 | 4632 | 0.7997 | 0.8017 |
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- | 0.8573 | 9.0 | 5211 | 0.7286 | 0.8319 |
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- | 0.8327 | 10.0 | 5790 | 0.7181 | 0.8362 |
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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: 1.3989
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+ - Accuracy: 0.6207
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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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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+ | 2.6042 | 1.0 | 579 | 2.4472 | 0.2371 |
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+ | 2.387 | 2.0 | 1158 | 2.0325 | 0.4526 |
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+ | 2.0347 | 3.0 | 1737 | 1.6837 | 0.5517 |
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+ | 1.6932 | 4.0 | 2316 | 1.4596 | 0.6034 |
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+ | 1.6036 | 5.0 | 2895 | 1.3989 | 0.6207 |
 
 
 
 
 
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  ### Framework versions
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