---
library_name: transformers
license: apache-2.0
base_model: crossdelenna/medium_cross.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: medium_cross.en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# medium_cross.en

This model is a fine-tuned version of [crossdelenna/medium_cross.en](https://huggingface.co/crossdelenna/medium_cross.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3034
- Wer: 15.1384

## 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: 1e-05
- train_batch_size: 22
- eval_batch_size: 22
- seed: 42
- 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: 10
- training_steps: 1051
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.664         | 1.2411 | 350  | 0.3998          | 18.2094 |
| 0.4625        | 2.4823 | 700  | 0.3244          | 16.0633 |
| 0.3703        | 3.7234 | 1050 | 0.3034          | 15.1384 |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0