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---
language:
- hi
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- konnakol
model-index:
- name: Whisper Hi - Gopika
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 Hi - Gopika
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Konnakol dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2581
- eval_wer: 0.0278
- eval_cer: 0.0297
- eval_half_cycle_error: 0.0278
- eval_full_cycle_error: 0.0532
- eval_runtime: 10.6512
- eval_samples_per_second: 2.159
- eval_steps_per_second: 0.188
- epoch: 125.0
- step: 750
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- 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: 1000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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