metadata
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-book-handwritten-io-constant-3e-7
results: []
6.7b-dalio-book-handwritten-io-constant-3e-7
This model is a fine-tuned version of facebook/opt-6.7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4629
- Accuracy: 0.3018
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: 3e-07
- 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 |
|---|---|---|---|---|
| 2.6398 | 0.11 | 6 | 2.5059 | 0.2987 |
| 2.5823 | 0.21 | 12 | 2.5039 | 0.2988 |
| 2.6128 | 0.32 | 18 | 2.4980 | 0.2991 |
| 2.5775 | 0.43 | 24 | 2.4922 | 0.2995 |
| 2.527 | 0.54 | 30 | 2.4863 | 0.2999 |
| 2.5752 | 0.64 | 36 | 2.4805 | 0.3003 |
| 2.5131 | 0.75 | 42 | 2.4746 | 0.3008 |
| 2.4436 | 0.86 | 48 | 2.4688 | 0.3014 |
| 2.5114 | 0.96 | 54 | 2.4629 | 0.3018 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1