wav2vec2-base_toy_train_data_slow_10pct

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3248
• Wer: 0.7175

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0663	2.1	500	3.0725	0.9982
1.1679	4.2	1000	1.3620	0.8889
0.6789	6.3	1500	1.2182	0.8160
0.5764	8.4	2000	1.2469	0.7667
0.4603	10.5	2500	1.2851	0.7533
0.4085	12.6	3000	1.2351	0.7401
0.3583	14.7	3500	1.2455	0.7367
0.3158	16.81	4000	1.3663	0.7261
0.2817	18.91	4500	1.3248	0.7175

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0+cu102
• Datasets 2.0.0
• Tokenizers 0.11.6