metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: roberta_crypto_profiling_task1_2
results: []
roberta_crypto_profiling_task1_2
This model is a fine-tuned version of cardiffnlp/twitter-roberta-large-2022-154m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9451
- Accuracy: 0.3765
- F1: 0.3577
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3