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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: distilbert-base-uncased-text-classification-v6 |
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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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# distilbert-base-uncased-text-classification-v6 |
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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: 0.2704 |
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- F1: 0.8474 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.3969 | 1.0 | 569 | 0.6767 | 0.4906 | |
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| 0.6361 | 2.0 | 1138 | 0.4067 | 0.7038 | |
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| 0.3966 | 3.0 | 1707 | 0.3094 | 0.7988 | |
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| 0.2509 | 4.0 | 2276 | 0.2744 | 0.8339 | |
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| 0.1678 | 5.0 | 2845 | 0.2704 | 0.8474 | |
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| 0.126 | 6.0 | 3414 | 0.2810 | 0.8530 | |
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| 0.098 | 7.0 | 3983 | 0.3025 | 0.8582 | |
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| 0.0722 | 8.0 | 4552 | 0.2982 | 0.8556 | |
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| 0.0631 | 9.0 | 5121 | 0.3026 | 0.8597 | |
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| 0.0581 | 10.0 | 5690 | 0.3059 | 0.8614 | |
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| 0.0615 | 11.0 | 6259 | 0.3016 | 0.8623 | |
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| 0.0567 | 12.0 | 6828 | 0.3108 | 0.8608 | |
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| 0.0572 | 13.0 | 7397 | 0.3072 | 0.8577 | |
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| 0.0469 | 14.0 | 7966 | 0.3147 | 0.8563 | |
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| 0.0493 | 15.0 | 8535 | 0.3229 | 0.8637 | |
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| 0.0477 | 16.0 | 9104 | 0.3183 | 0.8705 | |
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| 0.0482 | 17.0 | 9673 | 0.3212 | 0.8676 | |
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| 0.0442 | 18.0 | 10242 | 0.3193 | 0.8667 | |
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| 0.0432 | 19.0 | 10811 | 0.3224 | 0.8665 | |
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| 0.0409 | 20.0 | 11380 | 0.3220 | 0.8663 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.3 |
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