scibert_scivocab_cased-finetuned-scc

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

• Loss: 2.5173

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: 512
• eval_batch_size: 512
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	20	2.6666
No log	2.0	40	2.5236
No log	3.0	60	2.4550

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.10.1
• Tokenizers 0.11.6