allenpoe/whisper-small-finetuned-atcosim-model

Whisper Base ATCOSIM

This model is a fine-tuned version of openai/whisper-small on the atcosim_corpus_numbers_converted dataset. It achieves the following results on the evaluation set:

• Loss: 0.5964
• Wer: 404.9337

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: 16
• eval_batch_size: 8
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
8.7316	0.2092	100	8.1521	110.7020
5.3768	0.4184	200	5.2758	110.9713
3.2842	0.6276	300	3.4243	119.1492
1.892	0.8368	400	2.1743	121.4377
0.9999	1.0460	500	1.4513	168.8160
0.6472	1.2552	600	1.0157	369.7449
0.529	1.4644	700	0.8372	356.8554
0.4086	1.6736	800	0.6973	300.4644
0.3559	1.8828	900	0.6164	361.0150
0.2302	2.0921	1000	0.5964	404.9337

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1