metadata
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: VarunOPT-finetuned-slangQA
results: []
VarunOPT-finetuned-slangQA
This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8607
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: 1e-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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0017 | 1.0 | 1571 | 2.9288 |
| 2.7512 | 2.0 | 3142 | 2.8734 |
| 2.6146 | 3.0 | 4713 | 2.8607 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0