roberta-base-roberta-base-finetuned-mbti-0911
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: 25.7058
- eval_samples_per_second: 67.495
- eval_steps_per_second: 8.442
- 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