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update model card README.md
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README.md
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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-bs-v4
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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-bs-v4
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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: 2.1613
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- Accuracy: 0.6006
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- F1: 0.6030
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- Precision: 0.6104
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- Recall: 0.6006
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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: 4
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- eval_batch_size: 4
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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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| 1.4569 | 1.0 | 691 | 1.4527 | 0.4388 | 0.4009 | 0.4841 | 0.4388 |
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| 1.098 | 2.0 | 1382 | 1.3605 | 0.5402 | 0.5447 | 0.5679 | 0.5402 |
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| 0.74 | 3.0 | 2073 | 1.8285 | 0.5532 | 0.5582 | 0.5807 | 0.5532 |
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| 0.3963 | 4.0 | 2764 | 2.2860 | 0.5655 | 0.5663 | 0.5904 | 0.5655 |
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| 0.1291 | 5.0 | 3455 | 2.3329 | 0.5880 | 0.5903 | 0.5956 | 0.5880 |
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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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