Qwen2.5-1.75B-A1.1B-Instruct-ja
Qwen2.5-0.5B系のモデルを組み合わせて作ったMoEです。
Details
https://zenn.dev/kendama/articles/68ae234e9371ac
Qwen2.5-4x0.5B-sft-v1
This model is a fine-tuned version of Kendamarron/Qwen2.5-4x0.5B-cpt on the Kendamarron/jimba-instruction-all, the Kendamarron/OpenMathInstruct-2-ja-CoT-only_thought, the Aratako/Synthetic-JP-EN-Coding-Dataset-801k and the llm-jp/magpie-sft-v1.0 datasets. It achieves the following results on the evaluation set:
- Loss: 1.0085
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 60
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3068 | 0.0033 | 1 | 1.3071 |
| 1.1087 | 0.3309 | 100 | 1.0806 |
| 1.1393 | 0.6617 | 200 | 1.0488 |
| 1.0569 | 0.9926 | 300 | 1.0286 |
| 0.9902 | 1.3209 | 400 | 1.0215 |
| 0.9933 | 1.6518 | 500 | 1.0133 |
| 0.9706 | 1.9826 | 600 | 1.0085 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Downloads last month
- 6
Safetensors
Model size
2B params
Tensor type
BF16
·
Model tree for Kendamarron/Qwen2.5-1.75B-A1.1B-Instruct-ja
Base model
Kendamarron/Qwen2.5-4x0.5B-cpt