| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - alignment-handbook |
| | - generated_from_trainer |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | datasets: |
| | - HuggingFaceH4/ultrachat_200k |
| | base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| | model-index: |
| | - name: zephyr-tiny-sft-qlora-unquantized |
| | 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-tiny-sft-qlora-unquantized |
| |
|
| | This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the HuggingFaceH4/ultrachat_200k dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1440 |
| | |
| | ## 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: 0.0002 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - gradient_accumulation_steps: 8 |
| | - total_train_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: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.1365 | 1.0 | 18257 | 1.1440 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.7.1 |
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.15.2 |
| | # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
| | Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dball__zephyr-tiny-sft-qlora-quantized-2) |
| |
|
| | | Metric |Value| |
| | |---------------------------------|----:| |
| | |Avg. |35.53| |
| | |AI2 Reasoning Challenge (25-Shot)|33.19| |
| | |HellaSwag (10-Shot) |58.58| |
| | |MMLU (5-Shot) |25.21| |
| | |TruthfulQA (0-shot) |35.82| |
| | |Winogrande (5-shot) |58.80| |
| | |GSM8k (5-shot) | 1.59| |
| |
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| |
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