
<!-- 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. -->

# Ranjit/whisper_small_35k_or

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 and other dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2584
- Wer: 13.8614

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0022        | 5.59  | 1000 | 0.2405          | 13.9995 |
| 0.0005        | 11.17 | 2000 | 0.2584          | 13.8614 |
| 0.0002        | 16.76 | 3000 | 0.2683          | 16.5598 |
| 0.0           | 22.35 | 4000 | 0.2907          | 15.0380 |
| 0.0           | 27.93 | 5000 | 0.3085          | 14.2035 |







{"language": ["or"], "license": "cc-by-nd-4.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "model-index": [{"name": "odia_whisper_small_v3.0", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "mozilla-foundation/common_voice_11_0 or", "type": "mozilla-foundation/common_voice_11_0", "config": "or", "split": "test", "args": "or"}, "metrics": [{"type": "wer", "value": 13.8614, "name": "Wer"}]}]}]}
transformers pytorch tensorboard whisper automatic-speech-recognition whisper-event generated_from_trainer or dataset:mozilla-foundation/common_voice_11_0 license:cc-by-nd-4.0 model-index endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #or #dataset-mozilla-foundation/common_voice_11_0 #license-cc-by-nd-4.0 #model-index #endpoints_compatible #has_space #region-us 

Ranjit/whisper\_small\_35k\_or
==============================


This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common\_voice\_11\_0 and other dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2584
* Wer: 13.8614


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* training\_steps: 5000
* mixed\_precision\_training: Native AMP


### Training results




### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* training\_steps: 5000
* mixed\_precision\_training: Native AMP ### Training results
TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #or #dataset-mozilla-foundation/common_voice_11_0 #license-cc-by-nd-4.0 #model-index #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* training\_steps: 5000
* mixed\_precision\_training: Native AMP ### Training results