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Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

bamarasper-large

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 6
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.802	1.0	1062	0.8339
0.6385	2.0	2124	0.7577
0.488	3.0	3186	0.7136
0.4109	4.0	4248	0.6923
0.2838	5.0	5310	0.7161
0.1842	5.9948	6366	0.7710

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