|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
base_model: h2oai/h2o-danube-1.8b-base |
|
datasets: |
|
- HuggingFaceH4/ultrachat_200k |
|
model-index: |
|
- name: zephyr-danube-sft-qlora |
|
results: [] |
|
--- |
|
|
|
**Note**: This model card has been generated automatically according to the information the Trainer had access to. |
|
Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description. |
|
|
|
# zephyr-danube-sft-qlora |
|
|
|
This model is a fine-tuned version of [h2oai/h2o-danube-1.8b-base](https://huggingface.co/h2oai/h2o-danube-1.8b-base) on the HuggingFaceH4/ultrachat_200k dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0893 |
|
|
|
### 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: 128 |
|
- total_train_batch_size: 128 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.0883 | 0.9998 | 1140 | 1.0893 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.40.1 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
