ssc-top-mms-model-mix-adapt-max

ctaguchi/ssc-top-mms-model-mix-adapt-max

ssc-top-mms-model-mix-adapt-max is a automatic speech recognition model from ctaguchi. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: Dec 4, 2025
Updated: Dec 5, 2025
SHA: 6715dbd2

Base models

facebook/mms-1b-all

Model card

From the Hugging Face model README

ssc-top-mms-model-mix-adapt-max

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7289
Cer: 0.1445
Wer: 0.5792

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: 8
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 100
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
1.3243	0.3524	200	0.8187	0.1612	0.6843
1.2349	0.7048	400	0.7650	0.1595	0.6707
1.2417	1.0564	600	0.7351	0.1513	0.6322
1.2134	1.4088	800	0.7760	0.1521	0.6384
1.1341	1.7612	1000	0.7522	0.1478	0.5995
1.1513	2.1128	1200	0.7333	0.1489	0.6002
1.0074	2.4652	1400	0.7404	0.1495	0.6197
1.0128	2.8176	1600	0.7439	0.1515	0.6232
1.0346	3.1692	1800	0.7357	0.1478	0.6088
1.005	3.5216	2000	0.7420	0.1483	0.6065
0.9878	3.8740	2200	0.7508	0.1468	0.6041
0.9541	4.2256	2400	0.7342	0.1470	0.6014
0.9563	4.5780	2600	0.7314	0.1449	0.5812
0.9478	4.9304	2800	0.7289	0.1445	0.5792

Framework versions

Transformers 4.57.2
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.0

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Created: Dec 4, 2025
Updated: Dec 5, 2025