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rob-base-gc1 – AI Model by nbroad | AlphaNeural AI

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rob-base-gc1

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rob-base-gc1

This model is a fine-tuned version of roberta-base on the None dataset.

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 64
total_train_batch_size: 256
total_eval_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0
training precision: Mixed Precision

Training results

Framework versions

Transformers 4.20.0
Pytorch 1.10.0+cpu
Datasets 2.4.0
Tokenizers 0.12.1