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---
language:
- lt
license: apache-2.0
tags:
- whisper-event
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Medium Lithuanian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0
type: mozilla-foundation/common_voice_11_0
args: 'config: lt, split: test'
metrics:
- name: Wer
type: wer
value: 20.446244
---
<!-- 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 Medium Lithuanian CV11
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 lt dataset.
It achieves the following results on the evaluation set:
- Loss: 0.354951
- Wer: 20.446244
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0056 | 9.42 | 1000 | 0.3252 | 20.5534 |
| 0.0023 | 18.8 | 2000 | 0.3549 | 20.4462 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2 |