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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