File size: 2,267 Bytes
f4baa9d c5bb807 f4baa9d c5bb807 f4baa9d c5bb807 f4baa9d c5bb807 f4baa9d c5bb807 f4baa9d fad5494 f4baa9d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
---
language:
- mn
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Large MN - Ankhbayasgalan Davaadorj
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 16.1 & FLEURS
type: mozilla-foundation/common_voice_16_1
config: mn
split: None
args: 'config: mn, split: test+validation'
metrics:
- name: Wer
type: wer
value: 37.049667235025574
---
<!-- 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 MN - Ankhbayasgalan Davaadorj
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.1 & FLEURS dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3245
- Wer: 37.0497
## 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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4691 | 0.3 | 100 | 0.5472 | 57.2191 |
| 0.3191 | 0.6 | 200 | 0.4417 | 49.0237 |
| 0.2677 | 0.9 | 300 | 0.3791 | 43.3530 |
| 0.1486 | 1.2 | 400 | 0.3560 | 40.1188 |
| 0.1387 | 1.5 | 500 | 0.3430 | 37.8912 |
| 0.1396 | 1.8 | 600 | 0.3245 | 37.0497 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
|