metadata
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-book-handwritten-io-cosine-6e-6
results: []
6.7b-dalio-book-handwritten-io-cosine-6e-6
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: 2.0586
- Accuracy: 0.3412
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: 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=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.6377 | 0.11 | 6 | 2.4688 | 0.3016 |
| 2.5046 | 0.21 | 12 | 2.3848 | 0.3096 |
| 2.4755 | 0.32 | 18 | 2.3223 | 0.3156 |
| 2.459 | 0.43 | 24 | 2.2715 | 0.3201 |
| 2.3602 | 0.54 | 30 | 2.2246 | 0.3243 |
| 2.3829 | 0.64 | 36 | 2.1895 | 0.3275 |
| 2.3188 | 0.75 | 42 | 2.1465 | 0.3315 |
| 2.2895 | 0.86 | 48 | 2.1035 | 0.3365 |
| 2.3062 | 0.96 | 54 | 2.0586 | 0.3412 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.12.1