|
--- |
|
base_model: openai/whisper-large-v2 |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: whisper-large-v2-ft-my_dataset_snr0_owner12_MPSENet-241016v2 |
|
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-v2-ft-my_dataset_snr0_owner12_MPSENet-241016v2 |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0019 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.2 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 4.0644 | 0.8621 | 25 | 1.0139 | |
|
| 1.3619 | 1.7241 | 50 | 0.0809 | |
|
| 0.0312 | 2.5862 | 75 | 0.0216 | |
|
| 0.018 | 3.4483 | 100 | 0.0263 | |
|
| 0.0063 | 4.3103 | 125 | 0.0191 | |
|
| 0.0032 | 5.1724 | 150 | 0.0124 | |
|
| 0.0004 | 6.0345 | 175 | 0.0092 | |
|
| 0.0043 | 6.8966 | 200 | 0.0126 | |
|
| 0.0 | 7.7586 | 225 | 0.0027 | |
|
| 0.0 | 8.6207 | 250 | 0.0019 | |
|
| 0.0 | 9.4828 | 275 | 0.0019 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.0 |
|
- Transformers 4.45.0.dev0 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
