one_merge_yhhhhhhh_deepseek-coder-1.3b-instruct
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on the output dataset. It achieves the following results on the evaluation set:
- Loss: 0.1964
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
deepseek-ai/deepseek-coder-1.3b-instruct