models-ttt-test-11-step1
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B on the tttx/ttt-test-11-step1-child0 and the tttx/ttt-test-11-step1-master datasets. It achieves the following results on the evaluation set:
- Loss: 0.0756
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-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1237 | 1.0 | 3 | 0.1191 |
| 0.0989 | 2.0 | 6 | 0.0898 |
| 0.0781 | 3.0 | 9 | 0.0775 |
| 0.0741 | 4.0 | 12 | 0.0756 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for tttx/models-ttt-test-11-step1
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B