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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v1 |
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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-english-cefr-lexical-evaluation-dt-v1 |
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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: 0.5309 |
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- Accuracy: 0.8716 |
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- F1: 0.8713 |
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- Precision: 0.8714 |
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- Recall: 0.8716 |
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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: 0.0001 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.6225 | 1.0 | 3403 | 0.6408 | 0.7578 | 0.7538 | 0.7826 | 0.7578 | |
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| 0.3645 | 2.0 | 6806 | 0.4180 | 0.8597 | 0.8573 | 0.8554 | 0.8597 | |
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| 0.2349 | 3.0 | 10209 | 0.4452 | 0.8631 | 0.8621 | 0.8637 | 0.8631 | |
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| 0.1269 | 4.0 | 13612 | 0.5257 | 0.8694 | 0.8690 | 0.8690 | 0.8694 | |
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| 0.0605 | 5.0 | 17015 | 0.6865 | 0.8671 | 0.8668 | 0.8669 | 0.8671 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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