57495c52-6fe4-4495-96c8-d66a7c6b2f20
This model is a fine-tuned version of NousResearch/Yarn-Mistral-7b-128k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6432
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 | 0.0005 | 1 | 0.7540 |
| 1.0809 | 0.0239 | 50 | 0.6188 |
| 1.4275 | 0.0478 | 100 | 0.8076 |
| 1.0751 | 0.0717 | 150 | 0.7125 |
| 1.3306 | 0.0956 | 200 | 0.6432 |
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 lesso03/57495c52-6fe4-4495-96c8-d66a7c6b2f20
Base model
NousResearch/Yarn-Mistral-7b-128k