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bigbird-dialogue-score – AI Model by eublefar | AlphaNeural AI
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eublefar
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bigbird-dialogue-score
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transformers
pytorch
tensorboard
big_bird
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bigbird-dialogue-score
This model is a fine-tuned version of
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
