finetuned_Wav2Vec2_on_ATCOSIM

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1707
• Wer: 0.1170

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 5
• total_train_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.6927	2.5	400	0.5557	0.4100
0.3288	4.99	800	0.2382	0.1943
0.1856	7.49	1200	0.1957	0.1699
0.1325	9.99	1600	0.1845	0.1572
0.1018	12.48	2000	0.1771	0.1534
0.0899	14.98	2400	0.1637	0.1356
0.0722	17.48	2800	0.1812	0.1409
0.0596	19.98	3200	0.1747	0.1323
0.046	22.47	3600	0.1505	0.1307
0.037	24.97	4000	0.1705	0.1224
0.0294	27.47	4400	0.1614	0.1164
0.0249	29.96	4800	0.1707	0.1170

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3