torgo_xlsr_finetune_F03_keep_all

macarious/torgo_xlsr_finetune_F03_keep_all

torgo_xlsr_finetune_F03_keep_all is a automatic speech recognition model from macarious. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Feb 5, 2024
Updated: Feb 5, 2024
SHA: a40951fa

Model card

From the Hugging Face model README

torgo_xlsr_finetune_F03_keep_all

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1972
Wer: 0.0443

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.573	0.56	1000	3.3927	1.0
1.9872	1.11	2000	1.0729	0.7588
1.0338	1.67	3000	0.6272	0.4530
0.7363	2.22	4000	0.5054	0.3579
0.6181	2.78	5000	0.3583	0.2448
0.5327	3.33	6000	0.2902	0.1771
0.5046	3.89	7000	0.3202	0.1628
0.4227	4.44	8000	0.2460	0.1400
0.4405	5.0	9000	0.2750	0.1287
0.3927	5.55	10000	0.2235	0.0928
0.3496	6.11	11000	0.2621	0.1083
0.3294	6.66	12000	0.2056	0.0688
0.3201	7.22	13000	0.2155	0.0838
0.2973	7.77	14000	0.2909	0.0844
0.2758	8.33	15000	0.3096	0.0832
0.2688	8.88	16000	0.2420	0.0664
0.2537	9.44	17000	0.2438	0.0772
0.2642	9.99	18000	0.1836	0.0598
0.2611	10.55	19000	0.2562	0.0670
0.2019	11.1	20000	0.2084	0.0658
0.205	11.66	21000	0.1959	0.0628
0.2019	12.22	22000	0.2316	0.0700
0.1923	12.77	23000	0.2051	0.0664
0.1614	13.33	24000	0.2322	0.0724
0.1955	13.88	25000	0.1920	0.0551
0.1705	14.44	26000	0.2071	0.0521
0.1906	14.99	27000	0.2112	0.0533
0.1503	15.55	28000	0.1914	0.0491
0.1692	16.1	29000	0.1870	0.0557
0.149	16.66	30000	0.2172	0.0467
0.1413	17.21	31000	0.2313	0.0479
0.1466	17.77	32000	0.1989	0.0437
0.1533	18.32	33000	0.2078	0.0437
0.1176	18.88	34000	0.2034	0.0431
0.1189	19.43	35000	0.1929	0.0413
0.1056	19.99	36000	0.1972	0.0443

Framework versions

Transformers 4.26.1
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Feb 5, 2024
Updated: Feb 5, 2024