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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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model-index:
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-
- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on
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## Model description
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---
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library_name: transformers
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language:
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- ar
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Whisper tiny AR - BH
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper tiny AR - BH
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
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It achieves the following results on the evaluation set:
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- Loss: 9.1584
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- Wer: 409.4976
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- Cer: 202.1874
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## Model description
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runs/Feb13_17-36-49_e9c2a6f87655/events.out.tfevents.1739468399.e9c2a6f87655.31.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:285522fc41fbe6a66ebb78aed2482c525fc7bb3ad815ae30f024b13ec5979a28
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size 446
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trainer_state.json
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{
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"best_metric": 332.2475570032573,
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"best_model_checkpoint": "./temp/checkpoint-10",
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"epoch": 0.9523809523809523,
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"global_step": 15,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.6349206349206349,
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"eval_cer": 186.56571539506893,
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"eval_loss": 9.826007843017578,
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"eval_runtime": 21.7924,
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"eval_samples_per_second": 2.294,
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"eval_steps_per_second": 0.184,
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"eval_wer": 332.2475570032573,
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"step": 10
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},
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{
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"epoch": 0.9523809523809523,
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"step": 15,
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"total_flos": 2.36341297152e+16,
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"train_loss": 9.86193135579427,
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"train_runtime": 128.734,
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"train_samples_per_second": 7.768,
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"train_steps_per_second": 0.117
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}
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],
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"logging_steps": 50,
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"max_steps": 15,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 1,
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"save_steps": 50,
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"stateful_callbacks": {
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"TrainerControl": {
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"args": {
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"should_epoch_stop": false,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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},
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"attributes": {}
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}
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},
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"total_flos": 2.36341297152e+16,
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"train_batch_size": 16,
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"trial_name": null,
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"trial_params": null
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}
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