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Browse files- README.md +7 -7
- all_results.json +11 -11
- config.json +1 -1
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- train_results.json +5 -5
- trainer_state.json +389 -473
- training_args.bin +1 -1
README.md
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---
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base_model: ./core2
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tags:
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- generated_from_trainer
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metrics:
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# core2
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This model is a fine-tuned version of [./core2](https://huggingface.co/./core2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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: 1.0
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---
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base_model: ./core2/
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tags:
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- generated_from_trainer
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metrics:
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# core2
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This model is a fine-tuned version of [./core2/](https://huggingface.co/./core2/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5534
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- Accuracy: 0.4330
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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: 1.0
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all_results.json
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config.json
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