output_deepseek6.7_min_symbols_lemma_object_small
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-base on an unknown dataset.
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: 0.0008
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=eps=1e-6,weight_decay=0.05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 12
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.1
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Model tree for yalhessi/output_deepseek6.7_min_symbols_lemma_object_small
Base model
deepseek-ai/deepseek-coder-6.7b-base