wav2vec2-large-xlsr-53_tamasheq_french

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.8742
• Wer: 1.0

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: 0.0003
• train_batch_size: 5
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 10
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.659	4.0	400	2.9280	1.0
2.8942	8.0	800	2.8886	1.0
2.8877	12.0	1200	2.8671	1.0
2.8814	16.0	1600	2.8593	1.0
2.8779	20.0	2000	2.8615	1.0
2.914	24.0	2400	2.9140	1.0
2.8965	28.0	2800	2.8742	1.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3