w2v-bert-2.0-malayalam-colab-CV17.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7416
• Wer: 0.4932

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: 3e-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_ratio: 0.15
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.8561	3.1496	200	0.7115	0.7843
0.3748	6.2992	400	0.5012	0.5954
0.1826	9.4488	600	0.4939	0.5616
0.1032	12.5984	800	0.5389	0.5467
0.0578	15.7480	1000	0.5683	0.5313
0.0264	18.8976	1200	0.6533	0.5087
0.0097	22.0472	1400	0.6600	0.5055
0.0032	25.1969	1600	0.6981	0.4965
0.0015	28.3465	1800	0.7326	0.4984
0.0011	31.4961	2000	0.7416	0.4932

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1