metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-finetuned-t_vendor
results: []
xlm-roberta-base-finetuned-t_vendor
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: 0.3617
- Accuracy: 0.86
- F1: 0.8744
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.6873 | 1.0 | 26 | 0.6306 | 0.515 | 0.5707 |
0.5683 | 2.0 | 52 | 0.3781 | 0.84 | 0.8589 |
0.3915 | 3.0 | 78 | 0.3998 | 0.805 | 0.8317 |
0.3157 | 4.0 | 104 | 0.3590 | 0.84 | 0.8589 |
0.2672 | 5.0 | 130 | 0.3617 | 0.86 | 0.8744 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1