Whisper Hi - Gopika
This model is a fine-tuned version of 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
- Downloads last month
- 22
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for gopikachu/whisper-medium-hi-4cycles
Base model
openai/whisper-medium