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update model card README.md
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README.md
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---
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base_model: vinai/bertweet-large
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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: bertweet-large_epoch6_batch4_lr2e-05_w0.01
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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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# bertweet-large_epoch6_batch4_lr2e-05_w0.01
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This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7423
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- Accuracy: 0.6274
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- F1: 0.0
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- Precision: 0.0
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- Recall: 0.0
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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: 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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- num_epochs: 6
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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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| 0.6851 | 1.0 | 788 | 0.6628 | 0.6274 | 0.0 | 0.0 | 0.0 |
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| 0.678 | 2.0 | 1576 | 0.6763 | 0.6274 | 0.0 | 0.0 | 0.0 |
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| 0.6778 | 3.0 | 2364 | 0.6613 | 0.6274 | 0.0 | 0.0 | 0.0 |
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| 0.6732 | 4.0 | 3152 | 0.7288 | 0.6274 | 0.0 | 0.0 | 0.0 |
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| 0.6631 | 5.0 | 3940 | 0.6935 | 0.6274 | 0.0 | 0.0 | 0.0 |
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| 0.6456 | 6.0 | 4728 | 0.7423 | 0.6274 | 0.0 | 0.0 | 0.0 |
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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 2.14.3
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- Tokenizers 0.13.3
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