metadata

license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: hubert_new
    results: []

hubert_new

This model is a fine-tuned version of facebook/hubert-large-ll60k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0652
Wer: 0.0332
Cer: 0.0321

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
32.501	1.0	26	30.2361	1.4946	1.4799
18.4587	2.0	52	10.7837	1.0	1.0
7.9821	3.0	78	4.0872	1.0	1.0
4.0414	4.0	104	3.4348	1.0	1.0
3.3351	5.0	130	3.2570	1.0	1.0
3.2641	6.0	156	3.2289	1.0	1.0
3.2492	7.0	182	3.1934	1.0	1.0
3.2815	8.0	208	3.1768	1.0	1.0
3.1516	9.0	234	3.1230	1.0	1.0
3.1305	10.0	260	3.0061	1.0	1.0
2.9981	11.0	286	2.8843	1.0	1.0
2.6928	12.0	312	2.4900	1.0	1.0
2.3977	13.0	338	2.0772	0.9470	0.9594
1.9738	14.0	364	1.5876	0.7353	0.7459
1.2899	15.0	390	0.9695	0.5152	0.5217
0.9936	16.0	416	0.5316	0.2774	0.2768
0.6417	17.0	442	0.2814	0.1217	0.1146
0.4256	18.0	468	0.1658	0.0645	0.0623
0.2974	19.0	494	0.1023	0.0435	0.0419
0.1767	20.0	520	0.0652	0.0332	0.0321

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1