metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- stanfordnlp/snli
metrics:
- accuracy
model-index:
- name: bart-large-bn-adapter-3.17M-snli-model1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: snli
type: stanfordnlp/snli
metrics:
- name: Accuracy
type: accuracy
value: 0.9191221296484454
bart-large-bn-adapter-3.17M-snli-model1
This model is a fine-tuned version of facebook/bart-large on the snli dataset. It achieves the following results on the evaluation set:
- Loss: 0.2388
- Accuracy: 0.9191
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: 32
- eval_batch_size: 32
- seed: 36
- 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 | Accuracy |
|---|---|---|---|---|
| 0.3308 | 1.0 | 17168 | 0.2528 | 0.9099 |
| 0.3118 | 2.0 | 34336 | 0.2433 | 0.9163 |
| 0.3133 | 3.0 | 51504 | 0.2388 | 0.9191 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0