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---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: google/gemma-2b-it
model-index:
- name: outputs-82
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. -->
# outputs-82
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7601
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7165 | 1.0 | 15 | 1.7252 |
| 1.4588 | 2.0 | 30 | 1.5242 |
| 1.0786 | 3.0 | 45 | 1.5330 |
| 0.7402 | 4.0 | 60 | 1.6618 |
| 0.457 | 5.0 | 75 | 1.8911 |
| 0.2542 | 6.0 | 90 | 2.1658 |
| 0.1315 | 7.0 | 105 | 2.4128 |
| 0.0753 | 8.0 | 120 | 2.5541 |
| 0.0532 | 9.0 | 135 | 2.6873 |
| 0.0406 | 10.0 | 150 | 2.7601 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |