| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
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| starchat2-15b-sft-v0.1 - bnb 4bits | |
| - Model creator: https://huggingface.co./HuggingFaceH4/ | |
| - Original model: https://huggingface.co./HuggingFaceH4/starchat2-15b-sft-v0.1/ | |
| Original model description: | |
| --- | |
| license: bigcode-openrail-m | |
| base_model: bigcode/starcoder2-15b | |
| tags: | |
| - alignment-handbook | |
| - generated_from_trainer | |
| datasets: | |
| - HuggingFaceH4/airoboros-3.2 | |
| - HuggingFaceH4/Code-Feedback | |
| - HuggingFaceH4/orca-math-word-problems-200k | |
| - HuggingFaceH4/SystemChat | |
| - HuggingFaceH4/capybara | |
| model-index: | |
| - name: starcoder2-15b-sft-v5.0 | |
| results: [] | |
| --- | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # Model Card for starchat2-15b-sft-v0.1 | |
| This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co./bigcode/starcoder2-15b) on the HuggingFaceH4/airoboros-3.2, the HuggingFaceH4/Code-Feedback, the HuggingFaceH4/orca-math-word-problems-200k, the HuggingFaceH4/SystemChat and the HuggingFaceH4/capybara datasets. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6614 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 16 | |
| - total_train_batch_size: 128 | |
| - total_eval_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.6422 | 1.0 | 910 | 0.6910 | | |
| | 0.5701 | 2.0 | 1820 | 0.6639 | | |
| | 0.5227 | 3.0 | 2730 | 0.6614 | | |
| ### Framework versions | |
| - Transformers 4.39.0.dev0 | |
| - Pytorch 2.1.2+cu121 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.1 | |