---
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2b-MultiCap
  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-MultiCap

This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5983

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 600

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8045        | 0.0564 | 50   | 0.8067          |
| 0.7271        | 0.1128 | 100  | 0.6777          |
| 0.688         | 0.1692 | 150  | 0.6309          |
| 0.6268        | 0.2256 | 200  | 0.6176          |
| 0.572         | 0.2820 | 250  | 0.6118          |
| 0.5864        | 0.3384 | 300  | 0.6065          |
| 0.5528        | 0.3948 | 350  | 0.6030          |
| 0.5396        | 0.4512 | 400  | 0.6015          |
| 0.5726        | 0.5076 | 450  | 0.6005          |
| 0.5655        | 0.5640 | 500  | 0.5997          |
| 0.5712        | 0.6204 | 550  | 0.5988          |
| 0.5213        | 0.6768 | 600  | 0.5983          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1