peft tensorboard safetensors trl sft generated_from_trainer base_model:HuggingFaceH4/zephyr-7b-gemma-v0.1 license:other region:us
---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-gemma-v0.1
model-index:
- name: zephyr-7b-gemma-v0.1-dolly-15k-japanese-brainstorming
  results: []
---

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# zephyr-7b-gemma-v0.1-dolly-15k-japanese-brainstorming

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0633
- Rouge Scores: {'rouge1': 0.9319150352279906, 'rouge2': 0.8883945877981302, 'rougeL': 0.9156205972154783, 'rougeLsum': 0.9318247035282832}
- Bleu Scores: [0.8742804108622088, 0.8282136919353155, 0.7844967096076001, 0.7401985988687907]
- Gen Len: 267.6328

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge Scores                                                                                                                | Bleu Scores                                                                      | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------:|
| 2.0875        | 1.0   | 398  | 1.8386          | {'rouge1': 0.9518534747037615, 'rouge2': 0.9140427810392293, 'rougeL': 0.9388851677700583, 'rougeLsum': 0.95158067763818}   | [0.8685331607310987, 0.8215529959371649, 0.7775220896333259, 0.7330763309828479] | 267.6328 |
| 1.113         | 2.0   | 796  | 1.8244          | {'rouge1': 0.9498240327024159, 'rouge2': 0.9105251454991325, 'rougeL': 0.9351684031759284, 'rougeLsum': 0.9496422428890976} | [0.8793050721036704, 0.8337682371988153, 0.7902719267115179, 0.746124116452467]  | 267.6328 |
| 0.4726        | 3.0   | 1194 | 2.0633          | {'rouge1': 0.9319150352279906, 'rouge2': 0.8883945877981302, 'rougeL': 0.9156205972154783, 'rougeLsum': 0.9318247035282832} | [0.8742804108622088, 0.8282136919353155, 0.7844967096076001, 0.7401985988687907] | 267.6328 |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2