metadata
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: wauteoaj-bart
results: []
wauteoaj-bart
This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2506
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 29 | 6.8384 |
| No log | 2.0 | 58 | 6.6902 |
| No log | 3.0 | 87 | 6.5097 |
| No log | 4.0 | 116 | 6.4570 |
| No log | 5.0 | 145 | 6.3949 |
| No log | 6.0 | 174 | 6.3381 |
| No log | 7.0 | 203 | 6.3069 |
| No log | 8.0 | 232 | 6.2364 |
| No log | 9.0 | 261 | 6.3088 |
| No log | 10.0 | 290 | 6.1808 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3