malayalam_combined_Extempore

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4866
• Wer: 0.4837

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8139	0.9794	500	0.8389	0.6821
0.6539	1.9589	1000	0.6815	0.6041
0.5383	2.9383	1500	0.5827	0.5705
0.4772	3.9177	2000	0.5398	0.5548
0.4351	4.8972	2500	0.5342	0.5407
0.3866	5.8766	3000	0.5411	0.5174
0.3567	6.8560	3500	0.5063	0.5085
0.3047	7.8355	4000	0.4886	0.4986
0.2879	8.8149	4500	0.4878	0.4884
0.2648	9.7943	5000	0.4866	0.4837

Framework versions

• Transformers 4.43.0.dev0
• Pytorch 1.14.0a0+44dac51
• Datasets 2.16.1
• Tokenizers 0.19.1