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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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# BERT-FINETUNE-MBTI-CLS-BERT-FINETUNE-MBTI-CLS-JointBERT-Warmup-from-CLS
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This model is a fine-tuned version of [
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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---
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tags:
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- generated_from_trainer
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model-index:
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# BERT-FINETUNE-MBTI-CLS-BERT-FINETUNE-MBTI-CLS-JointBERT-Warmup-from-CLS
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.3549
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- Cls loss: 2.1311
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- Lm loss: 4.8216
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- Cls Accuracy: 0.6058
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- Cls F1: 0.6037
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- Cls Precision: 0.6084
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- Cls Recall: 0.6058
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- Perplexity: 124.17
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:|
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| 5.778 | 1.0 | 3470 | 5.5656 | 1.9246 | 5.0840 | 0.5931 | 0.5907 | 0.5968 | 0.5931 | 161.43 |
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| 5.1443 | 2.0 | 6940 | 5.3831 | 2.0178 | 4.8783 | 0.6069 | 0.6057 | 0.6177 | 0.6069 | 131.40 |
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| 4.9386 | 3.0 | 10410 | 5.3549 | 2.1311 | 4.8216 | 0.6058 | 0.6037 | 0.6084 | 0.6058 | 124.17 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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