| | --- |
| | license: mit |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: TheBloke/zephyr-7B-beta-GPTQ |
| | model-index: |
| | - name: zephyr_10k |
| | 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_10k |
| | |
| | This model is a fine-tuned version of [TheBloke/zephyr-7B-beta-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1827 |
| | |
| | ## 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: 16 |
| | - 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: 0.1 |
| | - num_epochs: 1 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.4074 | 0.16 | 100 | 1.1947 | |
| | | 0.7674 | 0.32 | 200 | 0.4081 | |
| | | 0.3036 | 0.48 | 300 | 0.2392 | |
| | | 0.2253 | 0.64 | 400 | 0.1989 | |
| | | 0.2016 | 0.8 | 500 | 0.1855 | |
| | | 0.1963 | 0.96 | 600 | 0.1827 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.7.1 |
| | - Transformers 4.36.2 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.16.0 |
| | - Tokenizers 0.15.0 |
