aidankmcl/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified

By aidankmcl · ↓ 0 · ♥ 0 · Updated 2025-07-28

What's in this repo

This page lists the files in aidankmcl/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified, including model.onnx.

1 ONNX models (.onnx files)
10 files, including 7 .json, 1 .md, 1 .onnx
Last updated 2025-07-28

ONNX files

File	Size	Download
onnx/model.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

This model is just a conversion of excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified

The original model card is below

wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the TIMIT dataset. It achieves the following results on the evaluation set:

Loss: 0.2796
Phone Error Rate: 0.0838 (8.38%)

Model description

Trained on a simplified version of the TIMIT phone set.

Intended uses & limitations

Merged Phonemes

Based on error analysis for each phoneme from the original TIMIT phoneme set.
See this repo for detailed analysis.
ax-h → ax
axr → er
ix → ih
ux → uw
zh → z
em → m
en → n
eng → ng
nx → n
hv → hh

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: 16
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Phone Error Rate
7.3185	1.04	300	3.6437	0.9617
2.5644	2.08	600	0.7668	0.1559
0.6782	3.11	900	0.3794	0.1231
0.4542	4.15	1200	0.3278	0.1164
0.3834	5.19	1500	0.3043	0.1151
0.3407	6.23	1800	0.2872	0.1119
0.3179	7.27	2100	0.2842	0.1110
0.2988	8.3	2400	0.2834	0.1102
0.2834	9.34	2700	0.2826	0.1100
0.2814	10.38	3000	0.2796	0.1100

Framework versions

Transformers 4.38.1
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.2

Model info

onnx wav2vec2 phoneme base_model:excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified base_model:quantized:excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified license:apache-2.0 region:us

↓ 0 ♥ 0

Created: 2025-07-26

Updated: 2025-07-28

View on Hugging Face

Files (10)

.gitattributes

README.md

added_tokens.json

config.json

onnx/model.onnx ONNX

preprocessor_config.json

special_tokens_map.json

tokenizer.json

tokenizer_config.json

vocab.json

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