Masternlp/first_training

temp

This model is a fine-tuned version of lgris/wav2vec2_base_10k_8khz_pt_cv7_2 on the common_voice_14_0 dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 16
• 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: 50
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0	1.0	114	nan
0.0	2.0	228	nan
0.0	3.0	342	nan
0.0	4.0	456	nan
0.0	5.0	570	nan
0.0	6.0	684	nan
0.0	7.0	798	nan
0.0	8.0	912	nan
0.0	9.0	1026	nan
0.0	10.0	1140	nan

Framework versions

• PEFT 0.12.1.dev0
• Transformers 4.45.0.dev0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1