drbert7-finetuned-test

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drbert7-finetuned-test

This model is a fine-tuned version of Dr-BERT/DrBERT-7GB on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.0395
• eval_model_preparation_time: 0.0077
• eval_accuracy: 0.0
• eval_precision: 0.0
• eval_recall: 0.0
• eval_f1: 0.0
• eval_runtime: 1.2365
• eval_samples_per_second: 0.809
• eval_steps_per_second: 0.809
• step: 0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Framework versions

• Transformers 4.55.0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.2