metadata
library_name: transformers
license: apache-2.0
base_model: Eimhin03/outout_model
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: outout_model
results: []
outout_model
This model is a fine-tuned version of Eimhin03/outout_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5216
- Wer: 23.5887
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- 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: 200
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2812 | 0.0248 | 1500 | 0.5216 | 23.5887 |
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2