finetunedLLM_gpt2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8754 | 0.1918 | 50 | 0.0280 |
| 0.0186 | 0.3835 | 100 | 0.0104 |
| 0.0124 | 0.5753 | 150 | 0.0084 |
| 0.0108 | 0.7670 | 200 | 0.0092 |
| 0.0101 | 0.9588 | 250 | 0.0071 |
| 0.0092 | 1.1505 | 300 | 0.0060 |
| 0.0088 | 1.3423 | 350 | 0.0070 |
| 0.0085 | 1.5340 | 400 | 0.0065 |
| 0.0081 | 1.7258 | 450 | 0.0061 |
| 0.0078 | 1.9175 | 500 | 0.0060 |
Framework versions
- PEFT 0.14.0
- Transformers 4.46.3
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
microsoft/phi-2