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---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- ipex
- GPU Max 1100
datasets:
- generator
base_model: google/gemma-2b
model-index:
- name: Gemma2B-LORAfied
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. -->
# Gemma2B-LORAfied
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0206
## Training Hardware
This model was trained using:
- GPU: Intel(R) Data Center GPU Max 1100
- CPU: Intel(R) Xeon(R) Platinum 8480+
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.927 | 1.64 | 100 | 2.5783 |
| 2.4568 | 3.28 | 200 | 2.2983 |
| 2.2609 | 4.92 | 300 | 2.1769 |
| 2.1671 | 6.56 | 400 | 2.1051 |
| 2.1065 | 8.2 | 500 | 2.0739 |
| 2.0844 | 9.84 | 600 | 2.0567 |
| 2.0643 | 11.48 | 700 | 2.0455 |
| 2.0511 | 13.11 | 800 | 2.0374 |
| 2.0435 | 14.75 | 900 | 2.0318 |
| 2.0304 | 16.39 | 1000 | 2.0276 |
| 2.0245 | 18.03 | 1100 | 2.0248 |
| 2.0247 | 19.67 | 1200 | 2.0228 |
| 2.0096 | 21.31 | 1300 | 2.0212 |
| 2.0183 | 22.95 | 1400 | 2.0206 |
## Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.18.0
- Tokenizers 0.15.2 |