mms-1b-all-lg-CV-Fleurs_filtered-100hrs-v1

This model is a fine-tuned version of facebook/mms-1b-all on the fleurs dataset. It achieves the following results on the evaluation set:

• Loss: 0.2897
• Wer: 0.4098
• Cer: 0.0743

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: 0.001
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 70
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.3203	1.0	7125	0.3178	0.4156	0.0762
0.2149	2.0	14250	0.3008	0.4194	0.0759
0.2093	3.0	21375	0.3015	0.4017	0.0743
0.2064	4.0	28500	0.3043	0.4114	0.0745
0.2042	5.0	35625	0.2955	0.4069	0.0753
0.2022	6.0	42750	0.3009	0.4088	0.0750
0.1989	7.0	49875	0.3088	0.4092	0.0756
0.1983	8.0	57000	0.2980	0.4081	0.0754
0.1969	9.0	64125	0.2951	0.4040	0.0741
0.1957	10.0	71250	0.2899	0.4039	0.0745
0.1945	11.0	78375	0.2896	0.4083	0.0744
0.1936	12.0	85500	0.2931	0.4038	0.0743
0.1929	13.0	92625	0.2897	0.4098	0.0743

Framework versions

• Transformers 4.46.2
• Pytorch 2.1.0+cu118
• Datasets 3.1.0
• Tokenizers 0.20.3