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eval_v3_stsb

This model is a fine-tuned version of bert-base-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.3179
• eval_pearson: nan
• eval_spearmanr: nan
• eval_combined_score: nan
• eval_runtime: 4.0282
• eval_samples_per_second: 342.333
• eval_steps_per_second: 42.947
• 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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.13.1