peft-starcoder-lora-a100-v3
This model is a fine-tuned version of bigcode/starcoderbase-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7271
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 200
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0693 | 0.5 | 100 | 1.6045 |
0.0458 | 1.0 | 200 | 1.7271 |
Framework versions
- PEFT 0.8.2
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Keerthana98/peft-starcoder-lora-a100-v3
Base model
bigcode/starcoderbase-3b