metadata
tags:
- generated_from_trainer
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:
- eval_loss: 0.7489
- eval_accuracy: 0.6404
- eval_runtime: 1.9816
- eval_samples_per_second: 217.501
- eval_steps_per_second: 27.251
- 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: 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
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.12.1