---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
model-index:
- name: Mental-Gemma-2b
  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. -->

# Mental-Gemma-2b

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5483

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9567        | 0.79  | 100  | 2.9099          |
| 2.8576        | 1.59  | 200  | 2.8171          |
| 2.7521        | 2.38  | 300  | 2.7228          |
| 2.6615        | 3.17  | 400  | 2.6415          |
| 2.6034        | 3.97  | 500  | 2.5863          |
| 2.555         | 4.76  | 600  | 2.5637          |
| 2.5408        | 5.56  | 700  | 2.5563          |
| 2.5204        | 6.35  | 800  | 2.5526          |
| 2.5319        | 7.14  | 900  | 2.5503          |
| 2.5336        | 7.94  | 1000 | 2.5491          |
| 2.5264        | 8.73  | 1100 | 2.5485          |
| 2.5166        | 9.52  | 1200 | 2.5483          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2