Cerebras-GPT-111M-instruction-sft-lora
This model is a fine-tuned version of SebastianSchramm/Cerebras-GPT-111M-instruction on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1815
Model description
More information needed
Intended uses & limitations
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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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1636 | 0.62 | 251 | 5.1815 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
cerebras/Cerebras-GPT-111M