475fef00-1881-46a6-a886-c3ca2b6860ba
This model is a fine-tuned version of NousResearch/Yarn-Llama-2-13b-64k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6865
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: 0.000218
- 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: 254
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0039 | 1 | 1.8965 |
| 3.4376 | 0.1972 | 50 | 1.7325 |
| 3.5812 | 0.3945 | 100 | 1.7171 |
| 3.4901 | 0.5917 | 150 | 1.7051 |
| 3.4559 | 0.7890 | 200 | 1.6889 |
| 3.4462 | 0.9862 | 250 | 1.6865 |
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-Llama-2-13b-64k