w2v-bert-2.0-english-CV16.1-v1

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset.

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: 0.0001
• train_batch_size: 24
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 48
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 420
• training_steps: 3000

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.1