peft tensorboard safetensors trl sft generated_from_trainer question-answering en dataset:gnumanth/gita base_model:google/gemma-7b license:other region:us
---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
model-index:
- name: outputs
  results: []
datasets:
- gnumanth/gita
language:
- en
pipeline_tag: question-answering
---

<!-- 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. -->

# outputs

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on [gnumanth/gita](https://huggingface.co/datasets/gnumanth/gita?row=0) dataset.

## Model description

Experimental fine tune gemma-7b model

## Intended uses & limitations

Gita interpretation, no limitations.


## Training procedure
SFTTrainer

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results

```
TrainOutput(global_step=10, training_loss=0.5232708215713501, metrics={'train_runtime': 13.8846, 'train_samples_per_second': 2.881, 'train_steps_per_second': 0.72, 'total_flos': 55989006336000.0, 'train_loss': 0.5232708215713501, 'epoch': 10.0})
```


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2