metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart_qa_model
results: []
bart_qa_model
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1988
- F1: 0.7649
- Exact Match: 0.634
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: 3.7185140364032e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Exact Match |
---|---|---|---|---|---|
0.8014 | 1.0 | 125 | 1.3209 | 0.7185 | 0.579 |
0.9114 | 2.0 | 250 | 1.1532 | 0.7515 | 0.623 |
0.6644 | 3.0 | 375 | 1.1988 | 0.7649 | 0.634 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1