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Fine-tunes/Merges of Coding Models.
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Starcoder-2-chat
Starcoder-2-chat is an instruction fine-tuned of bigcode/starcoder2-7b using the glaiveai/glaive-code-assistant-v2 dataset using LoRA.
🏆 Evaluation results
Thanks to Muhammad Bin Usman for running evals on Starcoder2-chat.
HUMANEVAL
0.3231707317073171
HUMANEVALPLUS
0.25609756097560976
INSTRUCT-HUMANEVAL
0.3231707317073171
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-7
- train_batch_size: 2
- eval_batch_size: Not specified
- seed: Not specified
- gradient_accumulation_steps: 8
- total_train_batch_size: Not specified
- optimizer: PagedAdamW with 32-bit precision
- lr_scheduler_type: Cosine
- lr_scheduler_warmup_steps: 100
- training_epoch: 1
Framework versions
- Transformers 4.39.0.dev0
- Peft 0.9.1.dev0
- Datasets 2.18.0
- torch 2.2.0
- accelerate 0.27.2
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Model tree for abideen/starcoder2-chat
Base model
bigcode/starcoder2-7b