| | --- |
| | license: mit |
| | library_name: peft |
| | tags: |
| | - alignment-handbook |
| | - generated_from_trainer |
| | - trl |
| | - sft |
| | base_model: HuggingFaceH4/zephyr-7b-beta |
| | datasets: |
| | - erbacher/rag-and-roll |
| | model-index: |
| | - name: zephyr-rag-agent |
| | 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. --> |
| |
|
| | # zephyr-rag-agent |
| |
|
| | This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the erbacher/rag-and-roll dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1829 |
| |
|
| | ## 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: 4e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 128 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.1559 | 0.99 | 27 | 1.1650 | |
| | | 1.0887 | 1.98 | 54 | 1.1555 | |
| | | 1.0566 | 2.97 | 81 | 1.1623 | |
| | | 1.0264 | 6.95 | 91 | 1.1689 | |
| | | 0.9977 | 7.97 | 105 | 1.1779 | |
| | | 0.9808 | 9.0 | 119 | 1.1820 | |
| | | 0.9791 | 9.8 | 130 | 1.1829 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.7.1 |
| | - Transformers 4.36.2 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.15.2 |
