File size: 1,742 Bytes
5355e1e a4cc66a b38e940 a4cc66a 5355e1e a4cc66a 5355e1e b38e940 5355e1e |
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 |
---
language:
- hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-firefox
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper small Hi - CKS 2411 graminVoice
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 small Hi - CKS 2411 graminVoice
This model is a fine-tuned version of [CKSINGH/whisper-small-hi-firefox](https://huggingface.co/CKSINGH/whisper-small-hi-firefox) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3893
- Wer: 16.1932
- Cer: 12.5576
## 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: 1.75e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0115 | 17.24 | 1000 | 0.3435 | 16.9823 | 13.1975 |
| 0.0004 | 34.48 | 2000 | 0.3805 | 16.4186 | 12.5888 |
| 0.0001 | 51.72 | 3000 | 0.3893 | 16.1932 | 12.5576 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|