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--- |
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library_name: transformers |
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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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model-index: |
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- name: interview_classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# interview_classifier |
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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: 2.2980 |
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- Accuracy: 0.3679 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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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| No log | 1.0 | 152 | 2.5214 | 0.2263 | |
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| No log | 2.0 | 304 | 2.4518 | 0.2272 | |
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| No log | 3.0 | 456 | 2.3823 | 0.3004 | |
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| 2.461 | 4.0 | 608 | 2.3026 | 0.3432 | |
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| 2.461 | 5.0 | 760 | 2.2736 | 0.3531 | |
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| 2.461 | 6.0 | 912 | 2.2958 | 0.3490 | |
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| 1.7996 | 7.0 | 1064 | 2.2739 | 0.3671 | |
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| 1.7996 | 8.0 | 1216 | 2.2829 | 0.3737 | |
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| 1.7996 | 9.0 | 1368 | 2.2985 | 0.3638 | |
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| 1.3781 | 10.0 | 1520 | 2.2980 | 0.3679 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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