torgo_xlsr_finetune-F04-2

yip-i/torgo_xlsr_finetune-F04-2

torgo_xlsr_finetune-F04-2 is a automatic speech recognition model from yip-i. 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. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Repo size

4.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin3.1 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 4, 2023
Updated: Mar 5, 2023
SHA: c133a7b7

Model card

From the Hugging Face model README

torgo_xlsr_finetune-F04-2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Torgo dataset. With language model added. It achieves the following results on the evaluation set:

Loss: 0.3123
Wer: 0.5055

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
23.0192	0.89	500	3.3685	1.0
3.3848	1.79	1000	3.1230	1.0
2.8977	2.68	1500	2.7814	1.0
2.6545	3.57	2000	2.4289	1.0
2.0706	4.46	2500	1.3831	1.2573
1.4296	5.36	3000	0.8670	1.1277
1.0995	6.25	3500	0.6462	1.0274
0.8746	7.14	4000	0.5206	0.9240
0.7191	8.04	4500	0.3925	0.8352
0.6227	8.93	5000	0.4340	0.8741
0.5577	9.82	5500	0.3835	0.7524
0.4712	10.71	6000	0.3221	0.7208
0.4373	11.61	6500	0.3851	0.7062
0.3994	12.5	7000	0.3124	0.6843
0.3614	13.39	7500	0.2716	0.6509
0.3278	14.29	8000	0.3251	0.6210
0.3056	15.18	8500	0.2820	0.6144
0.3043	16.07	9000	0.2554	0.5876
0.2831	16.96	9500	0.2745	0.6022
0.2485	17.86	10000	0.2667	0.5675
0.2536	18.75	10500	0.2789	0.5620
0.2134	19.64	11000	0.3169	0.5487
0.2095	20.54	11500	0.3009	0.5499
0.1958	21.43	12000	0.3615	0.5499
0.2035	22.32	12500	0.3107	0.5328
0.1849	23.21	13000	0.2891	0.5225
0.191	24.11	13500	0.2867	0.5189
0.1505	25.0	14000	0.2713	0.5170
0.1583	25.89	14500	0.3168	0.5170
0.1607	26.79	15000	0.2835	0.5097
0.1438	27.68	15500	0.2848	0.5109
0.1446	28.57	16000	0.3030	0.5079
0.1362	29.46	16500	0.3123	0.5055

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 4, 2023
Updated: Mar 5, 2023