wav2vec2-base-finetuned-zindi_techcabal

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0232
• Accuracy: 0.9963

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2428	1.3333	100	1.1358	0.7566
0.4838	2.6667	200	0.3009	0.9738
0.1708	4.0	300	0.1599	0.9700
0.1251	5.3333	400	0.0682	0.9906
0.0841	6.6667	500	0.0450	0.9888
0.0692	8.0	600	0.0534	0.9888
0.045	9.3333	700	0.0232	0.9963

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1