wav2vec2-large-lv60_scoring-phoneme-asr-timit_l2-english_nia037-saq-20s-11k_001

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5816
• eval_per: 0.2167
• eval_pcc: 0.7021
• eval_ctc_loss: 0.6796
• eval_mse_loss: 0.9020
• eval_runtime: 699.4014
• eval_samples_per_second: 2.133
• eval_steps_per_second: 2.133
• epoch: 8.09
• step: 6000

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: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• 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: 750
• training_steps: 7500

Framework versions

• Transformers 4.38.1
• Pytorch 2.0.1
• Datasets 2.16.1
• Tokenizers 0.15.2