metadata
library_name: transformers
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: intent-bart-mnli
results: []
intent-bart-mnli
This model is a fine-tuned version of facebook/bart-large-mnli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu118
- Datasets 3.6.0
- Tokenizers 0.19.1