hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on the None 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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.55.0
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.1