README.md

metadata

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

result

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5662
• Accuracy: 0.8065

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5234	1.0	6463	0.5311	0.7852
0.4135	2.0	12926	0.5020	0.8039
0.3246	3.0	19389	0.5662	0.8065

Testing results

    precision    recall  f1-score   support

       0      0.815     0.821     0.818      4449
       1      0.752     0.773     0.762      4071
       2      0.852     0.823     0.837      4245

accuracy                          0.806     12765

macro avg 0.806 0.806 0.806 12765 weighted avg 0.807 0.806 0.807 12765

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.14.1