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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/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ATE |
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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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# ATE |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2645 |
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- F1-score: 0.8113 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.2839 | 1.0 | 226 | 0.2148 | 0.7160 | |
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| 0.1153 | 2.0 | 452 | 0.1899 | 0.7830 | |
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| 0.0677 | 3.0 | 678 | 0.1942 | 0.8008 | |
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| 0.0456 | 4.0 | 904 | 0.2249 | 0.8012 | |
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| 0.0393 | 5.0 | 1130 | 0.2361 | 0.8077 | |
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| 0.027 | 6.0 | 1356 | 0.2455 | 0.8120 | |
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| 0.0226 | 7.0 | 1582 | 0.2486 | 0.8068 | |
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| 0.0198 | 8.0 | 1808 | 0.2602 | 0.8156 | |
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| 0.0171 | 9.0 | 2034 | 0.2640 | 0.8155 | |
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| 0.0161 | 10.0 | 2260 | 0.2645 | 0.8113 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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