|
--- |
|
license: other |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
base_model: facebook/opt-125m |
|
model-index: |
|
- name: opt-125m-pattern-based_finetuning_with_lora-mnli-d3_fs2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# opt-125m-pattern-based_finetuning_with_lora-mnli-d3_fs2 |
|
|
|
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7558 |
|
- Accuracy: 0.5166 |
|
|
|
## 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-06 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6236 | 1.0 | 1 | 0.7554 | 0.5160 | |
|
| 0.6717 | 2.0 | 2 | 0.7556 | 0.5163 | |
|
| 0.7121 | 3.0 | 3 | 0.7558 | 0.5166 | |
|
| 0.7589 | 4.0 | 4 | 0.7559 | 0.5164 | |
|
| 0.6858 | 5.0 | 5 | 0.7559 | 0.5163 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1.dev0 |
|
- Transformers 4.36.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
