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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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datasets:
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- emotion
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model-index:
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- name: bert-base-uncased-issues-128
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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-base-uncased-issues-128
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3196
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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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: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.6586 | 1.0 | 500 | 2.4203 |
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| 2.4655 | 2.0 | 1000 | 2.3889 |
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| 2.3769 | 3.0 | 1500 | 2.3279 |
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| 2.3024 | 4.0 | 2000 | 2.3623 |
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| 2.2178 | 5.0 | 2500 | 2.4500 |
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| 2.1352 | 6.0 | 3000 | 2.3042 |
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| 2.0793 | 7.0 | 3500 | 2.3053 |
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| 2.0462 | 8.0 | 4000 | 2.2402 |
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| 1.9886 | 9.0 | 4500 | 2.3407 |
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| 1.9393 | 10.0 | 5000 | 2.2826 |
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| 1.904 | 11.0 | 5500 | 2.3401 |
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| 1.8742 | 12.0 | 6000 | 2.3276 |
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| 1.8441 | 13.0 | 6500 | 2.2815 |
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| 1.8082 | 14.0 | 7000 | 2.2739 |
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| 1.8058 | 15.0 | 7500 | 2.3225 |
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| 1.7951 | 16.0 | 8000 | 2.2933 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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