metadata
license: mit
base_model: vblagoje/bart_lfqa
tags:
- generated_from_trainer
model-index:
- name: bart-qanda-proto
results: []
bart-qanda-proto
This model is a fine-tuned version of vblagoje/bart_lfqa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3360
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 25 | 2.3360 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0