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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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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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- f1 |
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model-index: |
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- name: finetuned-customer-intent-distilbert |
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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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# finetuned-customer-intent-distilbert |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2456 |
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- Accuracy: 0.8247 |
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- F1: 0.8247 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 25 | 3.1005 | 0.2835 | 0.2666 | |
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| No log | 2.0 | 50 | 2.5885 | 0.6598 | 0.6428 | |
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| No log | 3.0 | 75 | 2.0839 | 0.6959 | 0.6772 | |
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| No log | 4.0 | 100 | 1.6845 | 0.7371 | 0.7289 | |
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| No log | 5.0 | 125 | 1.4019 | 0.7835 | 0.7799 | |
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| No log | 6.0 | 150 | 1.2387 | 0.8093 | 0.8090 | |
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| No log | 7.0 | 175 | 1.1484 | 0.8144 | 0.8143 | |
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| No log | 8.0 | 200 | 1.1057 | 0.8247 | 0.8247 | |
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| No log | 9.0 | 225 | 1.1020 | 0.8247 | 0.8247 | |
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| No log | 10.0 | 250 | 1.1103 | 0.8247 | 0.8247 | |
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| No log | 11.0 | 275 | 1.1397 | 0.8247 | 0.8247 | |
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| No log | 12.0 | 300 | 1.1622 | 0.8247 | 0.8247 | |
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| No log | 13.0 | 325 | 1.1783 | 0.8247 | 0.8247 | |
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| No log | 14.0 | 350 | 1.1990 | 0.8247 | 0.8247 | |
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| No log | 15.0 | 375 | 1.2142 | 0.8247 | 0.8247 | |
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| No log | 16.0 | 400 | 1.2248 | 0.8247 | 0.8247 | |
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| No log | 17.0 | 425 | 1.2333 | 0.8247 | 0.8247 | |
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| No log | 18.0 | 450 | 1.2397 | 0.8247 | 0.8247 | |
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| No log | 19.0 | 475 | 1.2447 | 0.8247 | 0.8247 | |
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| No log | 20.0 | 500 | 1.2456 | 0.8247 | 0.8247 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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