37158817-0eda-4151-822e-5f3a1d7cbeff
This model is a fine-tuned version of NousResearch/Yarn-Solar-10b-32k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6314
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0011 | 1 | 1.2546 |
| 1.5662 | 0.0534 | 50 | 0.8095 |
| 1.6076 | 0.1068 | 100 | 0.8407 |
| 1.5312 | 0.1602 | 150 | 0.7788 |
| 1.4899 | 0.2136 | 200 | 0.7756 |
| 1.4191 | 0.2670 | 250 | 0.7470 |
| 1.3964 | 0.3203 | 300 | 0.7184 |
| 1.3698 | 0.3737 | 350 | 0.6775 |
| 1.2379 | 0.4271 | 400 | 0.6499 |
| 1.2919 | 0.4805 | 450 | 0.6347 |
| 1.297 | 0.5339 | 500 | 0.6314 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
NousResearch/Yarn-Solar-10b-32k