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---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: sumukhshadakshari/whisper-finetuned-cv-en
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. -->
# sumukhshadakshari/whisper-finetuned-cv-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the cv dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4536
- Wer: 31.4687
## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.6045 | 1.0 | 121 | 2.1470 | 33.3727 |
| 1.6307 | 2.0 | 242 | 1.7560 | 30.4642 |
| 1.2067 | 3.0 | 363 | 1.4536 | 31.4687 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.20.1
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