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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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- accuracy |
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- recall |
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- f1 |
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model-index: |
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- name: distil_bert_uncased-finetuned-relations |
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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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# distil_bert_uncased-finetuned-relations |
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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: 0.3626 |
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- Accuracy: 0.9082 |
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- Prec: 0.9061 |
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- Recall: 0.9082 |
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- F1: 0.9065 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Prec | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:| |
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| 0.2981 | 1.0 | 232 | 0.3442 | 0.9039 | 0.9014 | 0.9039 | 0.9018 | |
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| 0.2037 | 2.0 | 464 | 0.3400 | 0.8996 | 0.8980 | 0.8996 | 0.8974 | |
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| 0.1499 | 3.0 | 696 | 0.3501 | 0.9017 | 0.8979 | 0.9017 | 0.8980 | |
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| 0.1043 | 4.0 | 928 | 0.3545 | 0.9028 | 0.8979 | 0.9028 | 0.8994 | |
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| 0.0803 | 5.0 | 1160 | 0.3626 | 0.9082 | 0.9061 | 0.9082 | 0.9065 | |
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### Framework versions |
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- Transformers 4.19.4 |
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- Pytorch 1.13.0.dev20220614 |
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- Datasets 2.2.2 |
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- Tokenizers 0.11.6 |
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