This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the EDINBURGHCSTR/AMI - IHM dataset. It achieves the following results on the evaluation set:

Loss: 0.5988
Wer: 0.3357

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0732	0.1565	1000	1.1351	0.6738
1.4052	0.3131	2000	0.7311	0.4083
0.8798	0.4696	3000	0.5889	0.3604
0.4789	0.6262	4000	0.5681	0.3521
0.8011	0.7827	5000	0.5288	0.3382
1.4331	0.9393	6000	0.5386	0.3280
0.2201	1.0958	7000	0.5154	0.3198
0.1934	1.2523	8000	0.4895	0.3131
0.2713	1.4089	9000	0.4809	0.3065
0.1388	1.5654	10000	0.4984	0.3061
0.4085	1.7220	11000	0.4842	0.3082
0.3529	1.8785	12000	0.5417	0.3198

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0a0+gitcd033a1
Datasets 2.19.1
Tokenizers 0.19.1

tz579/wav2vec2-base-ami-fine-tuned

wav2vec2-base-ami-fine-tuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tz579/
wav2vec2-base-ami-fine-tuned