| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - unsloth |
| - generated_from_trainer |
| base_model: teknium/OpenHermes-2.5-Mistral-7B |
| model-index: |
| - name: open_hermes_query_expansion |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # open_hermes_query_expansion |
| |
| This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0409 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.03 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.7964 | 1.0 | 178 | 0.5460 | |
| | 0.4356 | 2.0 | 356 | 0.1952 | |
| | 0.1109 | 3.0 | 534 | 0.0663 | |
| | 0.0279 | 4.0 | 712 | 0.0390 | |
| | 0.0023 | 5.0 | 890 | 0.0409 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.9.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
