speecht5_finetuned_en32_lr201 – AI Model by Olivia111 | AlphaNeural AI

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Olivia111/
speecht5_finetuned_en32_lr201

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microsoft/speecht5_tts

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speecht5_finetuned_en32_lr201

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1221

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: 0.001
train_batch_size: 32
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4125	27.5862	100	0.4236
0.3922	55.1724	200	0.4396
0.4041	82.7586	300	0.4569
1.2069	110.3448	400	1.5275
1.1191	137.9310	500	1.1303
1.1334	165.5172	600	1.1247
1.1152	193.1034	700	1.1261
1.1065	220.6897	800	1.1219
1.1053	248.2759	900	1.1215
1.1055	275.8621	1000	1.1253
1.1281	303.4483	1100	1.1225
1.1074	331.0345	1200	1.1230
1.1043	358.6207	1300	1.1228
1.1038	386.2069	1400	1.1227
1.1036	413.7931	1500	1.1221

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1