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---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- dolly
- ipex
- max series gpu
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: phi-lora-tuned-Ondolly
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. -->
# phi-lora-tuned-Ondolly
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: 2.4224
## Model description
More information needed
## Intended uses & limitations
More information needed
## Hardware
Trained model on Intel 1550 GPU
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 593
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.9724 | 0.8197 | 100 | 2.8042 |
| 2.7286 | 1.6393 | 200 | 2.5881 |
| 2.5847 | 2.4590 | 300 | 2.4985 |
| 2.505 | 3.2787 | 400 | 2.4447 |
| 2.4737 | 4.0984 | 500 | 2.4224 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0.post0+cxx11.abi
- Datasets 2.19.1
- Tokenizers 0.19.1 |