--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: fb-data2vec-finetuned-finance-classification results: [] --- # fb-data2vec-finetuned-finance-classification This model is a fine-tuned version of [facebook/data2vec-text-base](https://huggingface.co/facebook/data2vec-text-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8993 - Accuracy: 0.8557 - F1: 0.8563 - Precision: 0.8576 - Recall: 0.8557 ## 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: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | No log | 1.0 | 285 | 0.6704 | 0.6680 | 0.6262 | 0.7919 | 0.6680 | | 0.6626 | 2.0 | 570 | 0.4731 | 0.8360 | 0.8350 | 0.8346 | 0.8360 | | 0.6626 | 3.0 | 855 | 0.4598 | 0.8458 | 0.8454 | 0.8452 | 0.8458 | | 0.3666 | 4.0 | 1140 | 0.4758 | 0.8360 | 0.8352 | 0.8353 | 0.8360 | | 0.3666 | 5.0 | 1425 | 0.5683 | 0.8340 | 0.8342 | 0.8353 | 0.8340 | | 0.2316 | 6.0 | 1710 | 0.6234 | 0.8419 | 0.8421 | 0.8447 | 0.8419 | | 0.2316 | 7.0 | 1995 | 0.7186 | 0.8379 | 0.8385 | 0.8395 | 0.8379 | | 0.1523 | 8.0 | 2280 | 0.7268 | 0.8439 | 0.8442 | 0.8455 | 0.8439 | | 0.0928 | 9.0 | 2565 | 0.7364 | 0.8439 | 0.8452 | 0.8494 | 0.8439 | | 0.0928 | 10.0 | 2850 | 0.7975 | 0.8478 | 0.8476 | 0.8476 | 0.8478 | | 0.054 | 11.0 | 3135 | 0.9019 | 0.8498 | 0.8509 | 0.8554 | 0.8498 | | 0.054 | 12.0 | 3420 | 0.8779 | 0.8538 | 0.8548 | 0.8578 | 0.8538 | | 0.036 | 13.0 | 3705 | 0.8914 | 0.8617 | 0.8626 | 0.8652 | 0.8617 | | 0.036 | 14.0 | 3990 | 0.8976 | 0.8538 | 0.8547 | 0.8572 | 0.8538 | | 0.0232 | 15.0 | 4275 | 0.8993 | 0.8557 | 0.8563 | 0.8576 | 0.8557 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0+cu113 - Datasets 2.1.0 - Tokenizers 0.12.1