metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: topic-model-v3
results: []
topic-model-v3
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3458
- F1: 0.9015
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6305 | 1.0 | 11964 | 0.4299 | 0.8788 |
| 0.3877 | 2.0 | 23928 | 0.3623 | 0.8953 |
| 0.3173 | 3.0 | 35892 | 0.3458 | 0.9015 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3