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roberta-base-roberta-base-finetuned-mbti-0912-weight0 – AI Model by GItaf | AlphaNeural AI
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roberta-base-roberta-base-finetuned-mbti-0912-weight0
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transformers
pytorch
roberta
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-roberta-base-finetuned-mbti-0912-weight0
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 4.1338
eval_runtime: 25.6249
eval_samples_per_second: 67.708
eval_steps_per_second: 8.468
step: 0
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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.21.2
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1
