metadata
library_name: transformers
license: apache-2.0
base_model: amberoad/bert-multilingual-passage-reranking-msmarco
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: category_predictor
results: []
category_predictor
This model is a fine-tuned version of amberoad/bert-multilingual-passage-reranking-msmarco on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9181
- Accuracy: 0.8626
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9646 | 1.0 | 152248 | 1.3476 | 0.7807 |
| 0.611 | 2.0 | 304496 | 1.0336 | 0.8401 |
| 0.4423 | 3.0 | 456744 | 0.9181 | 0.8626 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3