Model reference · open weights

filipino-wav2vec2-l-xls-r-official

filipino-wav2vec2-l-xls-r-official is an open-weight audio or speech model from Khalsuu, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Audio Khalsuu 1 variants 1.4M downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What filipino-wav2vec2-l-xls-r-official is

should probably proofread and complete it, then remove this comment. -- filipino-wav2vec2-l-xls-r-300m-official This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the filipinovoice dataset. It achieves the following results on the evaluation set: - Loss: 0.4672 - Wer: 0.2922 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: - learningrate: 0.0003 - trainbatchsize: 8 - evalbatchsize: 8 - seed: 42 - gradientaccumulationsteps: 2 - totaltrainbatchsize: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lrschedulertype: linear - lrschedulerwarmupsteps: 500 - numepochs: 30 - mixedprecisiontraining: Native AMP Training results Framework versions - Transformers 4.11.3 - Pytorch 1.10.0+cu113 - Datasets 1.18.3 - Tokenizers 0.10.3

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerKhalsuu
TypeAudio & music
Variants1
Runs withtransformers
Released2022-05-13
Popularity1.4M downloads / month
Likes2
LicenceOpen weights

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
filipino-wav2vec2-l-xls-r-300m-officialBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys filipino-wav2vec2-l-xls-r-official for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (filipino-wav2vec2-l-xls-r-official below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="filipino-wav2vec2-l-xls-r-official" -F file=@audio.mp3

Details

Languages, data & research

Trained / evaluated on

filipino_voice

Tags

transformers pytorch tensorboard wav2vec2 automatic-speech-recognition generated_from_trainer dataset:filipino_voice endpoints_compatible

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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