metadata
tags:
- generated_from_trainer
model-index:
- name: twitter-roberta-base-finetuned-twitter-user-desc
results: []
twitter-roberta-base-finetuned-twitter-user-desc
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on a dataset of twitter user descriptions. It achieves the following results on the evaluation set:
- eval_perplexity: 2.33
- epoch: 15
- step: 10635
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6