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hh-lmgym-demo-lora
This model is a fine-tuned version of EleutherAI/gpt-j-6b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6836
- Accuracy: 0.0896
- Entropy: 1.6709
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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 99
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Entropy |
|---|---|---|---|---|---|
| 1.6617 | 1.0 | 3466 | 1.6855 | 0.0896 | 1.6784 |
| 1.66 | 2.0 | 6932 | 1.6836 | 0.0896 | 1.6709 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0-rc1
- Datasets 2.7.1
- Tokenizers 0.13.3
