README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: ''
    results: []

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.3086
• Wer: 0.2676

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: 7.5e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1500
• num_epochs: 60.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.175	2.41	400	4.6909	1.0
3.3785	4.82	800	3.3080	1.0
2.6964	7.23	1200	2.0651	1.1055
1.3008	9.64	1600	0.5845	0.6207
1.1185	12.05	2000	0.4195	0.4193
1.0252	14.46	2400	0.3824	0.3570
0.935	16.87	2800	0.3693	0.3462
0.8818	19.28	3200	0.3587	0.3318
0.8534	21.69	3600	0.3420	0.3180
0.8137	24.1	4000	0.3426	0.3130
0.7968	26.51	4400	0.3349	0.3102
0.7558	28.92	4800	0.3216	0.3019
0.7313	31.33	5200	0.3451	0.3060
0.7358	33.73	5600	0.3272	0.2967
0.718	36.14	6000	0.3315	0.2882
0.6991	38.55	6400	0.3299	0.2830
0.6529	40.96	6800	0.3140	0.2836
0.6225	43.37	7200	0.3128	0.2751
0.633	45.78	7600	0.3211	0.2774
0.5876	48.19	8000	0.3162	0.2764
0.588	50.6	8400	0.3082	0.2722
0.5915	53.01	8800	0.3120	0.2681
0.5798	55.42	9200	0.3133	0.2709
0.5736	57.83	9600	0.3086	0.2676

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.4.dev0
• Tokenizers 0.11.0