dsv2_esft_codealpaca_lr2e-6
This model is a fine-tuned version of deepseek-ai/DeepSeek-V2-Lite on the CodeAlpaca 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: 2e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 59
Model tree for RoxanneWsyw/dsv2_codealpaca_esft_token_lr2e-6
Base model
deepseek-ai/DeepSeek-V2-Lite