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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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- name: BERT-FINETUNE-MBTI-LM-BERT-FINETUNE-MBTI-LM-JointBERT-Warmup-from-LM
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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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# BERT-FINETUNE-MBTI-LM-BERT-FINETUNE-MBTI-LM-JointBERT-Warmup-from-LM
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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: 4.7966
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- Cls loss: 1.4255
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- Lm loss: 4.4398
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- Cls Accuracy: 0.6380
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- Cls F1: 0.6319
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- Cls Precision: 0.6416
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- Cls Recall: 0.6380
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- Perplexity: 84.76
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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: 2
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- eval_batch_size: 2
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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: 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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| 5.3087 | 1.0 | 3470 | 4.9005 | 1.4109 | 4.5474 | 0.6075 | 0.5981 | 0.6132 | 0.6075 | 94.39 |
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| 4.8274 | 2.0 | 6940 | 4.7987 | 1.3448 | 4.4621 | 0.6242 | 0.6193 | 0.6381 | 0.6242 | 86.67 |
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| 4.6472 | 3.0 | 10410 | 4.7966 | 1.4255 | 4.4398 | 0.6380 | 0.6319 | 0.6416 | 0.6380 | 84.76 |
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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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