metadata
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: short-stories-lol-fine-tuned
results: []
short-stories-lol-fine-tuned
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: 3.7862
- F1: 0.1353
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 44 | 1.7573 | 0.0698 |
| No log | 2.0 | 88 | 1.7508 | 0.0569 |
| No log | 3.0 | 132 | 1.8932 | 0.0569 |
| No log | 4.0 | 176 | 1.9888 | 0.1432 |
| No log | 5.0 | 220 | 2.4816 | 0.0702 |
| No log | 6.0 | 264 | 2.8377 | 0.0859 |
| No log | 7.0 | 308 | 3.3364 | 0.1256 |
| No log | 8.0 | 352 | 3.2681 | 0.1017 |
| No log | 9.0 | 396 | 3.5178 | 0.1179 |
| No log | 10.0 | 440 | 3.7246 | 0.1548 |
| No log | 11.0 | 484 | 3.7577 | 0.1353 |
| 0.6317 | 12.0 | 528 | 3.7862 | 0.1353 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2