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SPECTER-frozen-with-biblio-context-finetuned-review_classifier

This model is a fine-tuned version of allenai/specter on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2606
• eval_accuracy: 0.91
• eval_f1: 0.0925
• eval_recall: 0.0490
• eval_precision: 0.8379
• eval_runtime: 1030.2818
• eval_samples_per_second: 77.649
• eval_steps_per_second: 6.471
• epoch: 1.0
• step: 6667

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: 4.5e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1