metadata
language:
- da
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
model-index:
- name: da_sent_xlm
results: []
da_sent_xlm
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7179
- Accuracy: 0.7657
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.12.1