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bert-base-cased-cv-studio_name-medium

This model is a fine-tuned version of roberta-base on the None dataset.

Model description

Predicts a studio name based on a CV text

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 10

Framework versions

• Transformers 4.19.0
• Pytorch 1.8.2+cu111
• Datasets 1.6.2
• Tokenizers 0.12.1