15k_sft_5ep_020925_s1_hp
This model is a fine-tuned version of deepseek-ai/Deepseek-R1-Distill-Qwen-32B on the tttx/r1-trajectories-arcagi-barc, the tttx/r1-masked-arcagi-v1, the tttx/r1-barc-r1-feb-6, the tttx/r1-masked-feb-6-p2, the tttx/r1-masked-feb-6-p1, the tttx/r1-trajectories-collection-round-2, the tttx/feb7-masked-trajectories-hp12 and the tttx/feb7-masked-trajectories-hp13 datasets. It achieves the following results on the evaluation set:
- Loss: 0.4033
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4923 | 1.0 | 600 | 0.4119 |
| 0.3153 | 2.0 | 1200 | 0.4070 |
| 0.321 | 3.0 | 1800 | 0.4046 |
| 0.3689 | 4.0 | 2400 | 0.4031 |
| 0.3588 | 5.0 | 3000 | 0.4033 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 275
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.