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zacdan4801/
wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended

Name: wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended
Availability: InStock

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-lv-60-espeak-cv-ft

finetune

apache-2.0

endpoints_compatible

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wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2187
Per: 1.2138

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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Per
17.3831	0.7194	400	4.4977	1.2308
4.3631	1.4388	800	4.0509	1.2308
4.0598	2.1583	1200	3.6796	1.2354
3.1368	2.8777	1600	1.4417	1.3460
1.9707	3.5971	2000	0.7791	1.2833
1.539	4.3165	2400	0.5435	1.2507
1.2794	5.0360	2800	0.4276	1.2342
1.1245	5.7554	3200	0.3720	1.2314
1.049	6.4748	3600	0.3311	1.2249
0.9643	7.1942	4000	0.3187	1.2227
0.9348	7.9137	4400	0.3081	1.2225
0.8862	8.6331	4800	0.3029	1.2212
0.8444	9.3525	5200	0.2792	1.2201
0.8186	10.0719	5600	0.2808	1.2220
0.8056	10.7914	6000	0.2781	1.2189
0.7913	11.5108	6400	0.2777	1.2211
0.774	12.2302	6800	0.2730	1.2189
0.722	12.9496	7200	0.2767	1.2224
0.7381	13.6691	7600	0.2645	1.2191
0.7404	14.3885	8000	0.2768	1.2205
0.7262	15.1079	8400	0.2619	1.2181
0.6948	15.8273	8800	0.2566	1.2187
0.7004	16.5468	9200	0.2608	1.2181
0.6615	17.2662	9600	0.2583	1.2198
0.6812	17.9856	10000	0.2514	1.2181
0.6389	18.7050	10400	0.2503	1.2181
0.6364	19.4245	10800	0.2469	1.2180
0.6348	20.1439	11200	0.2432	1.2182
0.6328	20.8633	11600	0.2442	1.2175
0.6393	21.5827	12000	0.2499	1.2173
0.6091	22.3022	12400	0.2427	1.2167
0.6064	23.0216	12800	0.2339	1.2132
0.6107	23.7410	13200	0.2349	1.2137
0.605	24.4604	13600	0.2406	1.2166
0.614	25.1799	14000	0.2360	1.2156
0.5862	25.8993	14400	0.2413	1.2153
0.5645	26.6187	14800	0.2423	1.2166
0.5778	27.3381	15200	0.2385	1.2154
0.5584	28.0576	15600	0.2315	1.2153
0.5695	28.7770	16000	0.2354	1.2149
0.5598	29.4964	16400	0.2330	1.2157
0.5478	30.2158	16800	0.2311	1.2147
0.5576	30.9353	17200	0.2320	1.2145
0.5565	31.6547	17600	0.2328	1.2143
0.5434	32.3741	18000	0.2298	1.2153
0.5627	33.0935	18400	0.2280	1.2157
0.5468	33.8129	18800	0.2283	1.2142
0.5427	34.5324	19200	0.2289	1.2148
0.5326	35.2518	19600	0.2301	1.2154
0.5223	35.9712	20000	0.2216	1.2150
0.513	36.6906	20400	0.2256	1.2134
0.5157	37.4101	20800	0.2233	1.2147
0.512	38.1295	21200	0.2229	1.2142
0.513	38.8489	21600	0.2216	1.2130
0.5262	39.5683	22000	0.2232	1.2136
0.5239	40.2878	22400	0.2254	1.2147
0.4931	41.0072	22800	0.2196	1.2135
0.5102	41.7266	23200	0.2238	1.2134
0.4962	42.4460	23600	0.2267	1.2148
0.4941	43.1655	24000	0.2253	1.2141
0.4781	43.8849	24400	0.2246	1.2140
0.4892	44.6043	24800	0.2242	1.2135
0.4973	45.3237	25200	0.2260	1.2138
0.4707	46.0432	25600	0.2204	1.2140
0.4921	46.7626	26000	0.2220	1.2150
0.4819	47.4820	26400	0.2280	1.2166
0.4807	48.2014	26800	0.2200	1.2144
0.4722	48.9209	27200	0.2248	1.2142
0.4723	49.6403	27600	0.2209	1.2144
0.4596	50.3597	28000	0.2243	1.2143
0.4772	51.0791	28400	0.2207	1.2141
0.4664	51.7986	28800	0.2223	1.2153
0.4519	52.5180	29200	0.2211	1.2138
0.4752	53.2374	29600	0.2198	1.2147
0.4485	53.9568	30000	0.2231	1.2138
0.4466	54.6763	30400	0.2149	1.2126
0.4596	55.3957	30800	0.2153	1.2130
0.4615	56.1151	31200	0.2164	1.2130
0.4479	56.8345	31600	0.2162	1.2144
0.4527	57.5540	32000	0.2170	1.2132
0.451	58.2734	32400	0.2180	1.2156
0.4276	58.9928	32800	0.2244	1.2151
0.4379	59.7122	33200	0.2144	1.2137
0.4404	60.4317	33600	0.2159	1.2130
0.4377	61.1511	34000	0.2180	1.2147
0.4238	61.8705	34400	0.2137	1.2147
0.422	62.5899	34800	0.2148	1.2142
0.4413	63.3094	35200	0.2196	1.2116
0.4387	64.0288	35600	0.2132	1.2148
0.4266	64.7482	36000	0.2153	1.2136
0.4332	65.4676	36400	0.2132	1.2131
0.4343	66.1871	36800	0.2117	1.2130
0.4298	66.9065	37200	0.2157	1.2137
0.428	67.6259	37600	0.2116	1.2144
0.4254	68.3453	38000	0.2190	1.2151
0.4213	69.0647	38400	0.2160	1.2148
0.4097	69.7842	38800	0.2211	1.2148
0.4209	70.5036	39200	0.2194	1.2134
0.4085	71.2230	39600	0.2200	1.2138
0.4131	71.9424	40000	0.2151	1.2142
0.4203	72.6619	40400	0.2180	1.2147
0.4149	73.3813	40800	0.2154	1.2136
0.4141	74.1007	41200	0.2184	1.2141
0.4008	74.8201	41600	0.2204	1.2141
0.4108	75.5396	42000	0.2202	1.2142
0.4169	76.2590	42400	0.2180	1.2136
0.4021	76.9784	42800	0.2186	1.2144
0.3981	77.6978	43200	0.2181	1.2131
0.4072	78.4173	43600	0.2191	1.2143
0.4014	79.1367	44000	0.2207	1.2142
0.4093	79.8561	44400	0.2186	1.2137
0.4045	80.5755	44800	0.2216	1.2136
0.4002	81.2950	45200	0.2206	1.2140
0.4125	82.0144	45600	0.2195	1.2144
0.3921	82.7338	46000	0.2237	1.2135
0.3988	83.4532	46400	0.2211	1.2147
0.4003	84.1727	46800	0.2177	1.2136
0.3848	84.8921	47200	0.2187	1.2137
0.3807	85.6115	47600	0.2185	1.2137
0.3888	86.3309	48000	0.2165	1.2136
0.4108	87.0504	48400	0.2166	1.2131
0.3987	87.7698	48800	0.2177	1.2131
0.3926	88.4892	49200	0.2191	1.2135
0.389	89.2086	49600	0.2199	1.2143
0.3946	89.9281	50000	0.2185	1.2131
0.3961	90.6475	50400	0.2175	1.2135
0.4106	91.3669	50800	0.2164	1.2138
0.391	92.0863	51200	0.2178	1.2137
0.3908	92.8058	51600	0.2183	1.2136
0.3806	93.5252	52000	0.2173	1.2136
0.3752	94.2446	52400	0.2188	1.2138
0.3903	94.9640	52800	0.2181	1.2134
0.3822	95.6835	53200	0.2190	1.2135
0.3945	96.4029	53600	0.2178	1.2140
0.3858	97.1223	54000	0.2189	1.2135
0.392	97.8417	54400	0.2190	1.2136
0.4031	98.5612	54800	0.2186	1.2137
0.3893	99.2806	55200	0.2189	1.2138
0.3806	100.0	55600	0.2187	1.2138

Framework versions

Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2

zacdan4801/wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended

wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zacdan4801/
wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f3-extended