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---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-cv16-1__my_dataset_car50_owner12_notmix_copy2x_mp3-241117-v1
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-cv16-1__my_dataset_car50_owner12_notmix_copy2x_mp3-241117-v1
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: 0.1189
## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3327 | 1.0 | 61 | 2.3013 |
| 1.4934 | 2.0 | 122 | 0.1615 |
| 0.2262 | 3.0 | 183 | 0.1212 |
| 0.1299 | 4.0 | 244 | 0.1157 |
| 0.1135 | 5.0 | 305 | 0.1146 |
| 0.1002 | 6.0 | 366 | 0.1149 |
| 0.0901 | 7.0 | 427 | 0.1159 |
| 0.083 | 8.0 | 488 | 0.1173 |
| 0.0787 | 9.0 | 549 | 0.1183 |
| 0.0746 | 10.0 | 610 | 0.1189 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0 |