Cafet/w2v-bert-version-final

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• 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: 2000
• num_epochs: 8
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.0
• Datasets 2.19.0
• Tokenizers 0.19.1