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metadata
base_model: allenai/scibert_scivocab_uncased
tags:
  - generated_from_trainer
model-index:
  - name: scibert_scivocab_uncased-nslp-forc-subtask2
    results: []

scibert_scivocab_uncased-nslp-forc-subtask2

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1159

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.94 128 0.1295
No log 3.88 256 0.1159

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.2
  • Datasets 2.17.1
  • Tokenizers 0.15.2