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update model card README.md
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README.md
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license: mit
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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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model-index:
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- name: es2
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results: []
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# es2
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This model is a fine-tuned version of [huranokuma/es2](https://huggingface.co/huranokuma/es2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8424
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- Accuracy: 0.5896
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## Model description
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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:
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- eval_batch_size:
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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:
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### Training results
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### Framework versions
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- Transformers 4.22.0.dev0
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- Pytorch 1.12.
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: es2
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results: []
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# es2
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This model is a fine-tuned version of [huranokuma/es2](https://huggingface.co/huranokuma/es2) on an unknown dataset.
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## Model description
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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: 4
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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: 5.0
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### Training results
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### Framework versions
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- Transformers 4.22.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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