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herrado99/
wav2vec2_phoneme_finetuned

Name: wav2vec2_phoneme_finetuned
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-lv-60-espeak-cv-ft

finetune

apache-2.0

endpoints_compatible

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wav2vec2_phoneme_finetuned

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on the None dataset. It achieves the following results on the evaluation set:

Loss: 68.3978
Per: 0.1814

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Per
268.9781	1.0	141	135.8863	0.2832
226.6022	2.0	282	101.9097	0.2148
198.0759	3.0	423	87.6582	0.1959
175.2407	4.0	564	80.1565	0.1944
168.0939	5.0	705	74.3647	0.1851
172.2129	6.0	846	70.7915	0.1866
159.1446	7.0	987	68.9037	0.1841
170.1425	8.0	1128	68.3978	0.1814

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

herrado99/wav2vec2_phoneme_finetuned

wav2vec2_phoneme_finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

herrado99/
wav2vec2_phoneme_finetuned