|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: Samuael/asr-amharic-phoneme-based-37-6 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- alffa_amharic |
|
model-index: |
|
- name: geez-asr |
|
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. --> |
|
|
|
# geez-asr |
|
|
|
This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-37-6](https://huggingface.co/Samuael/asr-amharic-phoneme-based-37-6) on the alffa_amharic dataset. |
|
It achieves the following results on the evaluation set: |
|
- eval_loss: 0.1275 |
|
- eval_wer: 0.1471 |
|
- eval_phoneme_cer: 0.0287 |
|
- eval_cer: 0.0405 |
|
- eval_runtime: 34.6716 |
|
- eval_samples_per_second: 18.17 |
|
- eval_steps_per_second: 2.279 |
|
- epoch: 10.2915 |
|
- step: 46600 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.0 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.20.0 |
|
|
