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Model: Gummybear05/whisper-small-E30_speed_pause2
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---
library_name: transformers
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_adult_baseline
model-index:
- name: whisper-small-E30_Ypause_speed
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-E30_Ypause_speed
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1850
- Cer: 5.2632
## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2839 | 0.1289 | 100 | 0.2516 | 6.3499 |
| 0.1451 | 0.2579 | 200 | 0.2303 | 6.3440 |
| 0.167 | 0.3868 | 300 | 0.2301 | 6.3205 |
| 0.1308 | 0.5158 | 400 | 0.2191 | 5.9504 |
| 0.1233 | 0.6447 | 500 | 0.2171 | 5.8799 |
| 0.1086 | 0.7737 | 600 | 0.1987 | 5.3454 |
| 0.1031 | 0.9026 | 700 | 0.1966 | 5.3219 |
| 0.0557 | 1.0309 | 800 | 0.1917 | 5.1809 |
| 0.0461 | 1.1599 | 900 | 0.1952 | 5.4276 |
| 0.039 | 1.2888 | 1000 | 0.1918 | 5.1574 |
| 0.0398 | 1.4178 | 1100 | 0.1919 | 5.4629 |
| 0.0414 | 1.5467 | 1200 | 0.1892 | 5.3102 |
| 0.039 | 1.6757 | 1300 | 0.1866 | 5.2690 |
| 0.0414 | 1.8046 | 1400 | 0.1864 | 5.2455 |
| 0.0374 | 1.9336 | 1500 | 0.1850 | 5.2632 |
### Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

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