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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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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- recall
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- precision
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model-index:
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- name: norbert2_sentiment_norec_en_gpu_3000_rader_2_test
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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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# norbert2_sentiment_norec_en_gpu_3000_rader_2_test
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6243
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- Compute Metrics: :
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- Accuracy: 0.6887
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- Balanced Accuracy: 0.5020
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- F1 Score: 0.8149
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- Recall: 0.9932
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- Precision: 0.6909
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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: 32
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Compute Metrics | Accuracy | Balanced Accuracy | F1 Score | Recall | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:--------:|:-----------------:|:--------:|:------:|:---------:|
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| 0.6753 | 0.94 | 11 | 0.6527 | : | 0.669 | 0.5064 | 0.7957 | 0.9343 | 0.6929 |
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| 0.7261 | 1.94 | 22 | 0.6292 | : | 0.6813 | 0.5032 | 0.8080 | 0.9720 | 0.6914 |
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| 0.7124 | 2.94 | 33 | 0.6263 | : | 0.688 | 0.5012 | 0.8145 | 0.9928 | 0.6905 |
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| 0.7036 | 3.94 | 44 | 0.6271 | : | 0.686 | 0.5015 | 0.8126 | 0.9870 | 0.6907 |
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| 0.7035 | 4.94 | 55 | 0.6243 | : | 0.6887 | 0.5020 | 0.8149 | 0.9932 | 0.6909 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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