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---
language:
- lv
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 Large-v2 Latvian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 lv
type: mozilla-foundation/common_voice_11_0
config: lv
split: test
args: lv
metrics:
- name: Wer
type: wer
value: 27.47628083491461
---
<!-- 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 Latvian
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 lv dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3179
- Wer: 27.4763
## 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: 3e-07
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- training_steps: 1500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5148 | 3.01 | 200 | 0.4189 | 39.3454 |
| 0.3041 | 6.03 | 400 | 0.3335 | 29.5731 |
| 0.1961 | 9.04 | 600 | 0.3186 | 27.7799 |
| 0.2579 | 13.01 | 800 | 0.3167 | 27.5712 |
| 0.2034 | 16.03 | 1000 | 0.3179 | 27.4763 |
| 0.1478 | 19.04 | 1200 | 0.3193 | 27.5237 |
| 0.2169 | 23.01 | 1400 | 0.3198 | 27.5047 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221218+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
|