pabagcha/roberta_crypto_profiling_task1_2

1---2license: mit3tags:4- generated_from_trainer5metrics:6- accuracy7- f18model-index:9- name: roberta_crypto_profiling_task1_210  results: []11---12 13<!-- This model card has been generated automatically according to the information the Trainer had access to. You14should probably proofread and complete it, then remove this comment. -->15 16# roberta_crypto_profiling_task1_217 18This model is a fine-tuned version of [cardiffnlp/twitter-roberta-large-2022-154m](https://huggingface.co/cardiffnlp/twitter-roberta-large-2022-154m) on the None dataset.19It achieves the following results on the evaluation set:20- Loss: 1.945121- Accuracy: 0.376522- F1: 0.357723 24## Model description25 26More information needed27 28## Intended uses & limitations29 30More information needed31 32## Training and evaluation data33 34More information needed35 36## Training procedure37 38### Training hyperparameters39 40The following hyperparameters were used during training:41- learning_rate: 2e-0542- train_batch_size: 443- eval_batch_size: 444- seed: 4245- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0846- lr_scheduler_type: linear47- num_epochs: 548 49### Training results50 51 52 53### Framework versions54 55- Transformers 4.29.256- Pytorch 2.0.0+cu11857- Datasets 2.12.058- Tokenizers 0.13.359