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gpt-j-6b-chatml
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: 0.8638
- Accuracy: 0.2561
- Entropy: 0.5880
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- total_eval_batch_size: 2
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Entropy |
|---|---|---|---|---|---|
| 0.8467 | 1.0 | 800 | 0.8354 | 0.2545 | 0.7810 |
| 0.3735 | 2.0 | 1600 | 0.8638 | 0.2561 | 0.5880 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0-rc1
- Datasets 2.10.1
- Tokenizers 0.13.3
