---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bigbird-dialogue-score
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bigbird-dialogue-score

This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2129
- eval_f1: 0.9290
- eval_precision: 0.9173
- eval_recall: 0.9410
- eval_runtime: 311.0516
- eval_samples_per_second: 49.304
- eval_steps_per_second: 6.163
- epoch: 1.0
- step: 5432

## 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 6
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2