my_awesome_asr_mind_model

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-russian on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 8.6914
• Wer: 0.9317

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
16.4326	0.3436	100	26.2073	1.0
16.1132	0.6873	200	13.6308	1.0
3.3225	1.0309	300	10.8892	1.0
3.6426	1.3746	400	6.1344	0.9985
2.6996	1.7182	500	4.0074	0.9930
2.2841	2.0619	600	4.9802	0.9742
2.2091	2.4055	700	7.2261	0.9517
2.089	2.7491	800	8.6914	0.9317

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Tokenizers 0.19.1