metadata
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-book-handwritten-io-constant-1e-6
results: []
6.7b-dalio-book-handwritten-io-constant-1e-6
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: 2.3633
- Accuracy: 0.3103
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: 1e-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 |
|---|---|---|---|---|
| 2.6396 | 0.11 | 6 | 2.5039 | 0.2989 |
| 2.5754 | 0.21 | 12 | 2.4902 | 0.2999 |
| 2.5859 | 0.32 | 18 | 2.4648 | 0.3018 |
| 2.5432 | 0.43 | 24 | 2.4434 | 0.3035 |
| 2.472 | 0.54 | 30 | 2.4238 | 0.3053 |
| 2.5184 | 0.64 | 36 | 2.4082 | 0.3064 |
| 2.4524 | 0.75 | 42 | 2.3926 | 0.3078 |
| 2.3876 | 0.86 | 48 | 2.3789 | 0.3092 |
| 2.4456 | 0.96 | 54 | 2.3633 | 0.3103 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1