common6

This model is a fine-tuned version of common6/checkpoint-3500 on the COMMON_VOICE - FA dataset. It achieves the following results on the evaluation set:

• Loss: 0.3706
• Wer: 0.3421

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: 6e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 200.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0344	10.0	500	0.4043	0.4511
0.9651	20.0	1000	0.3793	0.4159
0.9125	30.0	1500	0.3756	0.4046
0.8831	40.0	2000	0.3650	0.3876
0.8399	50.0	2500	0.3605	0.3772
0.819	60.0	3000	0.3622	0.3714
0.8029	70.0	3500	0.3561	0.3664
0.8104	80.0	4000	0.3595	0.3660
0.8118	90.0	4500	0.3460	0.3592
0.7831	100.0	5000	0.3566	0.3593
0.744	110.0	5500	0.3578	0.3535
0.7388	120.0	6000	0.3538	0.3520
0.714	130.0	6500	0.3682	0.3506
0.7291	140.0	7000	0.3625	0.3505
0.697	150.0	7500	0.3619	0.3479
0.6811	160.0	8000	0.3631	0.3440
0.6841	170.0	8500	0.3672	0.3460
0.6616	180.0	9000	0.3677	0.3410
0.6471	190.0	9500	0.3707	0.3420
0.6759	200.0	10000	0.3706	0.3421

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2
• Datasets 1.18.3.dev0
• Tokenizers 0.10.3