---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma-2b-dolly-qa
  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. -->

# gemma-2b-dolly-qa

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8003

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3815        | 1.64  | 100  | 2.0042          |
| 1.934         | 3.28  | 200  | 2.0421          |
| 1.7512        | 4.92  | 300  | 2.1031          |
| 1.5047        | 6.56  | 400  | 2.3441          |
| 1.276         | 8.2   | 500  | 2.6745          |
| 1.0163        | 9.84  | 600  | 2.9221          |
| 0.7745        | 11.48 | 700  | 3.3954          |
| 0.5846        | 13.11 | 800  | 4.0620          |
| 0.4107        | 14.75 | 900  | 4.2286          |
| 0.2873        | 16.39 | 1000 | 4.6660          |
| 0.2062        | 18.03 | 1100 | 5.0101          |
| 0.1397        | 19.67 | 1200 | 5.3291          |
| 0.1046        | 21.31 | 1300 | 5.6700          |
| 0.0788        | 22.95 | 1400 | 5.8003          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0a0+cxx11.abi
- Datasets 2.18.0
- Tokenizers 0.15.2