amazon-reviews-input-output-350m
This model is a fine-tuned version of facebook/opt-350m on the AlekseyKorshuk/amazon-reviews-input-output dataset. It achieves the following results on the evaluation set:
- Loss: 3.0449
- Accuracy: 0.0374
- Samples: 100
- Perplexity: 21.0084
- Table: <wandb.data_types.Table object at 0x7f8a6005d580>
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 |
|---|---|---|---|---|
| 3.2842 | 1.0 | 16 | 3.0449 | 0.0374 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Downloads last month
- 15
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train AlekseyKorshuk/amazon-reviews-input-output-350m
Evaluation results
- Accuracy on AlekseyKorshuk/amazon-reviews-input-outputself-reported0.037