Training in progress, step 400

README.md

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----
-language:
-- da
-tags:
-- generated_from_trainer
-datasets:
-- audiofolder
-model-index:
-- name: Whisper Small Da - HollowVoice
-  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 Small Da - HollowVoice
-
-This model is a fine-tuned version of [openai/openai/whisper-small](https://huggingface.co/openai/openai/whisper-small) on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.2092
-- eval_wer: 45.8557
-- eval_runtime: 51.9268
-- eval_samples_per_second: 3.12
-- eval_steps_per_second: 0.404
-- epoch: 74.99
-- step: 3000
-
-## 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: 1e-05
-- train_batch_size: 4
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 4000
-- mixed_precision_training: Native AMP
-
-### Framework versions
-
-- Transformers 4.27.0.dev0
-- Pytorch 1.13.1+cu117
-- Datasets 2.10.1
-- Tokenizers 0.13.2

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