---
library_name: transformers
base_model: davron04/gemma-3-270m-uzen-base
tags:
- generated_from_trainer
model-index:
- name: gemma-3-270m-uzen-base
  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-3-270m-uzen-base

This model is a fine-tuned version of [davron04/gemma-3-270m-uzen-base](https://huggingface.co/davron04/gemma-3-270m-uzen-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1987
- Perplexity: 9.0416

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 0.01
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Perplexity |
|:-------------:|:------:|:----:|:---------------:|:----------:|
| No log        | 0      | 0    | 3.3726          | 29.0075    |
| 152.2381      | 0.1002 | 428  | 2.4411          | 11.5116    |
| 145.3987      | 0.2003 | 856  | 2.3491          | 10.5032    |
| 143.7446      | 0.3005 | 1284 | 2.3286          | 10.2931    |
| 140.7659      | 0.4006 | 1712 | 2.2912          | 9.9159     |
| 139.1574      | 0.5008 | 2140 | 2.2643          | 9.6535     |
| 137.4137      | 0.6009 | 2568 | 2.2431          | 9.4512     |
| 136.3983      | 0.7011 | 2996 | 2.2254          | 9.2859     |
| 135.6059      | 0.8012 | 3424 | 2.2111          | 9.1541     |
| 134.8424      | 0.9014 | 3852 | 2.1987          | 9.0416     |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2