metadata

base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
  - generated_from_trainer
model-index:
  - name: twitter-xlm-roberta-base-sentiment
    results: []

twitter-xlm-roberta-base-sentiment

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: 1.0141
eval_rmse: 0.7043
eval_runtime: 4.8635
eval_samples_per_second: 411.227
eval_steps_per_second: 51.403
epoch: 5.0
step: 2500

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3