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roberta-base-finetuned – AI Model by GusNicho | AlphaNeural AI

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GusNicho/
roberta-base-finetuned

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roberta-base-finetuned

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.4057
eval_runtime: 3.7087
eval_samples_per_second: 167.712
eval_steps_per_second: 2.696
epoch: 2.11
step: 2053

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.12.5
Pytorch 1.9.1
Datasets 1.16.1
Tokenizers 0.10.3