masked-star-test-star-9-step3
This model is a fine-tuned version of tttx/masked-star-test-star-9-step2 on the tttx/test-star-9-step3-trajectories dataset. It achieves the following results on the evaluation set:
- Loss: 3.8717
Model description
More information needed
Intended uses & limitations
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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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3298 | 1.0 | 1 | 3.9557 |
| 0.4377 | 2.0 | 2 | 3.8717 |
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/masked-star-test-star-9-step3
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deepseek-ai/DeepSeek-R1-Distill-Qwen-32B