---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ssr-gemma-3-1b-it
  results: []
---

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# ssr-gemma-3-1b-it

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.8637
- Wer: 1.0

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 30
- total_train_batch_size: 30
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results



### Framework versions

- Transformers 4.51.3
- Pytorch 2.8.0.dev20250403+cu128
- Datasets 3.4.1
- Tokenizers 0.21.0