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# Whisper_Small_Odia_CV_11.0_5k_steps

This model is a fine-tuned version of [Ranjit/Whisper_Small_Odia_10k_steps](https://huggingface.co/Ranjit/Whisper_Small_Odia_10k_steps) on the [mozilla-foundation/common_voice_11_0 or](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4827
- Wer: 23.4979

### 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0018        | 50.0  | 1000 | 0.3315          | 24.0903 |
| 0.0           | 100.0 | 2000 | 0.4098          | 23.7236 |
| 0.0           | 150.0 | 3000 | 0.4827          | 23.4979 |
| 0.0           | 200.0 | 4000 | 0.4914          | 23.8928 |
| 0.0           | 250.0 | 5000 | 0.4953          | 23.7800 |
{"language": ["or"], "license": "afl-3.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "model-index": [{"name": "Whisper_Small_Odia_CV_11.0_5k_steps", "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": 23.497884344146687, "name": "Wer"}]}]}]}
transformers pytorch tensorboard whisper automatic-speech-recognition whisper-event generated_from_trainer or dataset:mozilla-foundation/common_voice_11_0 license:afl-3.0 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-afl-3.0 #model-index #endpoints_compatible #has_space #region-us 

Whisper\_Small\_Odia\_CV\_11.0\_5k\_steps
=========================================


This model is a fine-tuned version of Ranjit/Whisper\_Small\_Odia\_10k\_steps on the mozilla-foundation/common\_voice\_11\_0 or dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4827
* Wer: 23.4979


### 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-afl-3.0 #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
TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #or #dataset-mozilla-foundation/common_voice_11_0 #license-afl-3.0 #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