metadata
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon-reviews-input-output-6.7b-best
results: []
amazon-reviews-input-output-6.7b-best
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: 2.6953
- Accuracy: 0.0403
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9912 | 0.06 | 1 | 2.7441 | 0.0404 |
| 2.9329 | 0.12 | 2 | 2.7441 | 0.0404 |
| 2.9138 | 0.19 | 3 | 2.8262 | 0.0389 |
| 2.9395 | 0.25 | 4 | 2.8262 | 0.0389 |
| 2.9109 | 0.31 | 5 | 2.7949 | 0.0399 |
| 2.8391 | 0.38 | 6 | 2.7461 | 0.0403 |
| 2.9368 | 0.44 | 7 | 2.7207 | 0.0398 |
| 2.7583 | 0.5 | 8 | 2.7070 | 0.0403 |
| 2.9756 | 0.56 | 9 | 2.6836 | 0.0408 |
| 2.8442 | 0.62 | 10 | 2.6738 | 0.0403 |
| 2.7312 | 0.69 | 11 | 2.6680 | 0.0405 |
| 2.7439 | 0.75 | 12 | 2.6699 | 0.0404 |
| 2.9075 | 0.81 | 13 | 2.6797 | 0.0403 |
| 2.8518 | 0.88 | 14 | 2.6797 | 0.0403 |
| 2.8579 | 0.94 | 15 | 2.6777 | 0.0404 |
| 2.8916 | 1.0 | 16 | 2.6953 | 0.0403 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1