---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
model-index:
- name: SPECTER-frozen-with-biblio-context-finetuned-review_classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SPECTER-frozen-with-biblio-context-finetuned-review_classifier

This model is a fine-tuned version of [allenai/specter](https://huggingface.co/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
