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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_mix-241029-v2
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_mix-241029-v2
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: 0.2544
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0497 | 1.0 | 444 | 0.1964 |
| 0.19 | 2.0 | 888 | 0.1885 |
| 0.133 | 3.0 | 1332 | 0.1957 |
| 0.0925 | 4.0 | 1776 | 0.2096 |
| 0.0689 | 5.0 | 2220 | 0.2213 |
| 0.0533 | 6.0 | 2664 | 0.2282 |
| 0.0422 | 7.0 | 3108 | 0.2373 |
| 0.0347 | 8.0 | 3552 | 0.2432 |
| 0.0296 | 9.0 | 3996 | 0.2518 |
| 0.0263 | 10.0 | 4440 | 0.2544 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0 |