b62e85c3-b7ed-48a1-885e-814f809f9854
This model is a fine-tuned version of NousResearch/Yarn-Llama-2-7b-64k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6312
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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 30
- 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 | 0.0000 | 1 | 0.9172 |
| 1.4721 | 0.0005 | 50 | 0.7540 |
| 1.33 | 0.0011 | 100 | 0.7054 |
| 1.4407 | 0.0016 | 150 | 0.6920 |
| 1.292 | 0.0022 | 200 | 0.6724 |
| 1.277 | 0.0027 | 250 | 0.6592 |
| 1.2201 | 0.0033 | 300 | 0.6507 |
| 1.2606 | 0.0038 | 350 | 0.6399 |
| 1.1798 | 0.0043 | 400 | 0.6345 |
| 1.1737 | 0.0049 | 450 | 0.6317 |
| 1.1798 | 0.0054 | 500 | 0.6312 |
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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Model tree for lesso03/b62e85c3-b7ed-48a1-885e-814f809f9854
Base model
NousResearch/Yarn-Llama-2-7b-64k