metadata

license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
  - precision
base_model: allenai/specter
model-index:
  - name: SPECTER-with-biblio-context-finetuned-review_classifier
    results: []

SPECTER-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:

Loss: 0.1284
Accuracy: 0.962
F1: 0.7892
Recall: 0.7593
Precision: 0.8216

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.1956	1.0	6667	0.1805	0.9514	0.7257	0.6860	0.7702
0.135	2.0	13334	0.1284	0.962	0.7892	0.7593	0.8216

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1