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
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Model tree for moetazrahall/drbert7-finetuned-test
Base model
Dr-BERT/DrBERT-7GB