metadata
library_name: transformers
license: apache-2.0
base_model: norjas1/TrainEsperanto
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: TrainEsperanto2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: audiofolder
type: audiofolder
config: default
split: None
args: default
metrics:
- name: Wer
type: wer
value: 1
TrainEsperanto2
This model is a fine-tuned version of norjas1/TrainEsperanto on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: nan
- 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1393 | 6.1728 | 500 | nan | 1.0 |
| 0.0 | 12.3457 | 1000 | nan | 1.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.20.1