This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.18
  • eval_wer: 65.4881 (0.654881)
  • eval_runtime: 2738.0001
  • eval_samples_per_second: 1.588
  • eval_steps_per_second: 0.199
  • epoch: 4.0
  • step: 4345

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 10

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
Downloads last month
51
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for PhanithLIM/xwhisper-kh-small

Finetuned
(2103)
this model

Datasets used to train PhanithLIM/xwhisper-kh-small

Space using PhanithLIM/xwhisper-kh-small 1