wav2vec2-xlsr-fi-train-aug-lm-1B – AI Model by RASMUS | AlphaNeural AI

You can deploy this model and start earning money today!

RASMUS/
wav2vec2-xlsr-fi-train-aug-lm-1B

like

0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_7_0

robust-speech-event

hf-asr-leaderboard

mozilla-foundation/common_voice_7_0

endpoints_compatible

Views

No views yet

wav2vec2-xlsr-fi-train-aug-lm-1B

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1499
Wer: 0.1955

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6473	0.29	400	0.2857	0.3825
0.6039	0.58	800	0.2459	0.3476
0.4757	0.87	1200	0.2338	0.3274
0.4473	1.15	1600	0.2246	0.3128
0.4322	1.44	2000	0.1962	0.2805
0.3961	1.73	2400	0.2070	0.2797
0.3642	2.02	2800	0.1790	0.2473
0.3561	2.31	3200	0.1769	0.2375
0.282	2.6	3600	0.1672	0.2263
0.2978	2.89	4000	0.1636	0.2192
0.2722	3.17	4400	0.1637	0.2102
0.2924	3.46	4800	0.1506	0.2021
0.2631	3.75	5200	0.1499	0.1955

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.11.0