---
library_name: transformers
base_model: Benjaminpwh/xlsr-toratan-240-copt-base_K
tags:
- generated_from_trainer
model-index:
- name: xls-r-300m-toratan-120-copt
  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. -->

# xls-r-300m-toratan-120-copt

This model is a fine-tuned version of [Benjaminpwh/xlsr-toratan-240-copt-base_K](https://huggingface.co/Benjaminpwh/xlsr-toratan-240-copt-base_K) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0124
- Cer: 0.0045

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 4.5582        | 4.1667  | 400  | 1.8811          | 0.5809 |
| 1.5024        | 8.3333  | 800  | 0.8199          | 0.2577 |
| 0.9223        | 12.5    | 1200 | 0.4515          | 0.1573 |
| 0.5883        | 16.6667 | 1600 | 0.2131          | 0.0854 |
| 0.369         | 20.8333 | 2000 | 0.0768          | 0.0305 |
| 0.2309        | 25.0    | 2400 | 0.0288          | 0.0117 |
| 0.1515        | 29.1667 | 2800 | 0.0124          | 0.0045 |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1