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--- |
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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: 0.1049 |
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- Accuracy: 0.9682 |
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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: 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 | 79 | 2.2043 | 0.1720 | |
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| No log | 2.0 | 158 | 1.8878 | 0.4331 | |
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| No log | 3.0 | 237 | 1.4540 | 0.6624 | |
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| No log | 4.0 | 316 | 1.1512 | 0.7134 | |
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| No log | 5.0 | 395 | 0.8028 | 0.8153 | |
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| No log | 6.0 | 474 | 0.5610 | 0.8854 | |
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| 1.5247 | 7.0 | 553 | 0.4031 | 0.9299 | |
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| 1.5247 | 8.0 | 632 | 0.3275 | 0.9172 | |
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| 1.5247 | 9.0 | 711 | 0.2420 | 0.9363 | |
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| 1.5247 | 10.0 | 790 | 0.1941 | 0.9490 | |
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| 1.5247 | 11.0 | 869 | 0.1656 | 0.9682 | |
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| 1.5247 | 12.0 | 948 | 0.1444 | 0.9682 | |
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| 0.3164 | 13.0 | 1027 | 0.1325 | 0.9682 | |
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| 0.3164 | 14.0 | 1106 | 0.1194 | 0.9682 | |
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| 0.3164 | 15.0 | 1185 | 0.1145 | 0.9682 | |
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| 0.3164 | 16.0 | 1264 | 0.1138 | 0.9682 | |
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| 0.3164 | 17.0 | 1343 | 0.1101 | 0.9682 | |
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| 0.3164 | 18.0 | 1422 | 0.1074 | 0.9682 | |
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| 0.1327 | 19.0 | 1501 | 0.1050 | 0.9682 | |
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| 0.1327 | 20.0 | 1580 | 0.1049 | 0.9682 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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