Neo-VN-2.7B
Work-in-progress. Current version is very bad.
This model is a fine-tuned version of huggingface.co/EleutherAI/opt-neo-2.7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4748
- Accuracy: 0.4671
Model description
Neo-VN-2.7B is a transformer model based on EleutherAI's replication of GPT-3.
Training procedure
Fine-tuned on 233MB of conversational data.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.3941 | 1 | 20460 | 0.4671 | 2.4748 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1