metadata
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr
results: []
6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr
This model is a fine-tuned version of facebook/opt-6.7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4121
- Accuracy: 0.3487
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: 6e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4875 | 0.11 | 1 | 2.5059 | 0.3397 |
| 2.5339 | 0.22 | 2 | 2.5059 | 0.3397 |
| 2.5161 | 0.33 | 3 | 2.5059 | 0.3397 |
| 2.4524 | 0.44 | 4 | 2.5059 | 0.3397 |
| 2.554 | 0.56 | 5 | 2.4785 | 0.3416 |
| 2.4678 | 0.67 | 6 | 2.4785 | 0.3416 |
| 2.4836 | 0.78 | 7 | 2.4473 | 0.3458 |
| 2.4138 | 0.89 | 8 | 2.4297 | 0.3473 |
| 2.4551 | 1.0 | 9 | 2.4121 | 0.3487 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1