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MarioNapoli/
DynamicWav2Vec_TEST_11

Name: DynamicWav2Vec_TEST_11
Rating: 2.5 (6 reviews)

transformers

pytorch

wav2vec2

generated_from_trainer

common_voice_1_0

joaoalvarenga/wav2vec2-large-xlsr-italian

finetune

apache-2.0

endpoints_compatible

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DynamicWav2Vec_TEST_11

This model is a fine-tuned version of joorock12/wav2vec2-large-xlsr-italian on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1250
Wer: 0.2074

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1961	0.84	500	0.0733	0.1918
0.1958	1.67	1000	0.0808	0.1971
0.1816	2.51	1500	0.0884	0.2061
0.1615	3.34	2000	0.0978	0.2076
0.1501	4.18	2500	0.0954	0.2083
0.1449	5.02	3000	0.1094	0.2139
0.143	5.85	3500	0.1036	0.2134
0.1343	6.69	4000	0.1034	0.2171
0.1285	7.53	4500	0.1150	0.2171
0.1191	8.36	5000	0.1195	0.2171
0.1163	9.2	5500	0.1212	0.2206
0.1118	10.03	6000	0.1184	0.2217
0.1042	10.87	6500	0.1211	0.2164
0.1015	11.71	7000	0.1152	0.2172
0.0999	12.54	7500	0.1273	0.2178
0.1017	13.38	8000	0.1287	0.2180
0.0988	14.21	8500	0.1299	0.2136
0.0889	15.05	9000	0.1321	0.2166
0.0913	15.89	9500	0.1292	0.2197
0.093	16.72	10000	0.1354	0.2185
0.0859	17.56	10500	0.1254	0.2186
0.0788	18.39	11000	0.1326	0.2198
0.0874	19.23	11500	0.1387	0.2175
0.0889	20.07	12000	0.1314	0.2171
0.0789	20.9	12500	0.1238	0.2126
0.0724	21.74	13000	0.1278	0.2150
0.0706	22.58	13500	0.1256	0.2126
0.0739	23.41	14000	0.1316	0.2107
0.0711	24.25	14500	0.1298	0.2120
0.0626	25.08	15000	0.1290	0.2120
0.0684	25.92	15500	0.1264	0.2088
0.0726	26.76	16000	0.1242	0.2094
0.0652	27.59	16500	0.1263	0.2083
0.0597	28.43	17000	0.1265	0.2086
0.0614	29.26	17500	0.1250	0.2074

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

MarioNapoli/DynamicWav2Vec_TEST_11

DynamicWav2Vec_TEST_11

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MarioNapoli/
DynamicWav2Vec_TEST_11