Hugging Face's logo

liamvbetts
/
my_awesome_model

Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Model card Files Metrics Community
my_awesome_model / README.md
liamvbetts's picture
liamvbetts
End of training
d4f2431 verified
preview code
|
raw
history blame contribute delete
1.44 kB
metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results: []

my_awesome_model

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2272
  • Accuracy: 0.9385

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
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2273 1.0 1563 0.1953 0.9296
0.1723 2.0 3126 0.2272 0.9385

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1