metadata
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-350m-mnli
results: []
opt-350m-mnli
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8431
- Accuracy: 0.8271
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.493 | 1.0 | 3068 | 0.5057 | 0.8001 |
| 0.3426 | 2.0 | 6136 | 0.4839 | 0.8213 |
| 0.1667 | 3.0 | 9204 | 0.5713 | 0.8270 |
| 0.0537 | 4.0 | 12272 | 0.8431 | 0.8271 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3