|
--- |
|
license: other |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: 1.3b-dalio-principles-book |
|
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. --> |
|
|
|
# 1.3b-dalio-principles-book |
|
|
|
This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.4512 |
|
- Accuracy: 0.4741 |
|
|
|
## 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: 7e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 8 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.6914 | 0.14 | 1 | 2.6895 | 0.4477 | |
|
| 2.6897 | 0.29 | 2 | 2.6895 | 0.4477 | |
|
| 2.668 | 0.43 | 3 | 2.7031 | 0.4403 | |
|
| 2.7434 | 0.57 | 4 | 2.5918 | 0.4533 | |
|
| 2.6265 | 0.71 | 5 | 2.5410 | 0.4618 | |
|
| 2.5259 | 0.86 | 6 | 2.5156 | 0.4641 | |
|
| 2.5566 | 1.0 | 7 | 2.4902 | 0.4667 | |
|
| 2.2317 | 1.14 | 8 | 2.4766 | 0.4707 | |
|
| 2.2397 | 1.29 | 9 | 2.4727 | 0.4705 | |
|
| 2.0162 | 1.43 | 10 | 2.4766 | 0.4690 | |
|
| 2.0537 | 1.57 | 11 | 2.4805 | 0.4707 | |
|
| 2.1432 | 1.71 | 12 | 2.4707 | 0.4714 | |
|
| 2.0822 | 1.86 | 13 | 2.4570 | 0.4724 | |
|
| 1.9056 | 2.0 | 14 | 2.4512 | 0.4741 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
