174fd5d7-ee85-4f46-b77c-6dd8ca4485f7
This model is a fine-tuned version of bigcode/starcoder2-3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3830
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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0000 | 1 | 2.5514 |
| 7.2365 | 0.0008 | 50 | 1.8931 |
| 4.4335 | 0.0017 | 100 | 1.6682 |
| 3.9431 | 0.0025 | 150 | 1.6041 |
| 3.7197 | 0.0034 | 200 | 1.5221 |
| 3.5622 | 0.0042 | 250 | 1.4875 |
| 3.4795 | 0.0050 | 300 | 1.4545 |
| 3.3682 | 0.0059 | 350 | 1.4133 |
| 3.3457 | 0.0067 | 400 | 1.3916 |
| 3.1891 | 0.0075 | 450 | 1.3849 |
| 3.2575 | 0.0084 | 500 | 1.3830 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso/174fd5d7-ee85-4f46-b77c-6dd8ca4485f7
Base model
bigcode/starcoder2-3b