---
library_name: transformers
base_model: harsh13333/gemma-270m-clip-vlm-v1
tags:
- generated_from_trainer
model-index:
- name: vlm-step2
  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. -->

# vlm-step2

This model is a fine-tuned version of [harsh13333/gemma-270m-clip-vlm-v1](https://huggingface.co/harsh13333/gemma-270m-clip-vlm-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2240

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.6484       | 1.0   | 863  | 1.3250          |
| 10.641        | 2.0   | 1726 | 1.2484          |
| 9.9045        | 3.0   | 2589 | 1.2240          |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2