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-english-brainstorming
  results: []
---

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# zephyr-7b-gemma-v0.1-dolly-15k-english-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: 2.0379
- Rouge Scores: {'rouge1': 0.8920163757596338, 'rouge2': 0.704989930228666, 'rougeL': 0.6904462083259152, 'rougeLsum': 0.8921015562617531}
- Bleu Scores: [0.9142317811716697, 0.8946450625199018, 0.861687223700863, 0.8247095835838011]
- Gen Len: 173.9831

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------:|
| 1.8066        | 1.0   | 398  | 1.5763          | {'rouge1': 0.8719486519299721, 'rouge2': 0.6858373837842913, 'rougeL': 0.6861102438763595, 'rougeLsum': 0.8720072420952034} | [0.8723380854692366, 0.8546701189673893, 0.8224023460474214, 0.785769551380743]  | 173.9831 |
| 0.9169        | 2.0   | 796  | 1.6668          | {'rouge1': 0.883181856643912, 'rouge2': 0.6997679859586841, 'rougeL': 0.6924565329952792, 'rougeLsum': 0.883103771162937}   | [0.8931160450713287, 0.8746416101301718, 0.8429433870774087, 0.8073293214599679] | 173.9831 |
| 0.3796        | 3.0   | 1194 | 2.0379          | {'rouge1': 0.8920163757596338, 'rouge2': 0.704989930228666, 'rougeL': 0.6904462083259152, 'rougeLsum': 0.8921015562617531}  | [0.9142317811716697, 0.8946450625199018, 0.861687223700863, 0.8247095835838011]  | 173.9831 |


### 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