|
--- |
|
language: |
|
- sq |
|
tags: |
|
- generated_from_trainer |
|
base_model: distil-whisper/distil-large-v3 |
|
datasets: |
|
- ek9624/alb_spoken_ealbania |
|
model-index: |
|
- name: Whisper Large Distil-v2 EALB |
|
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. --> |
|
|
|
# Whisper Large EALB |
|
|
|
This model is a fine-tuned version of [distil-whisper/distil-large-v3](distil-whisper/distil-large-v3) on the ek9624/alb_spoken_ealbania. |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- training_steps: 2634 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|