speecht5_female_british_english_1

This model is a fine-tuned version of Timmyafolami/speecht5_female_british_english on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4200

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: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4698	0.4890	100	0.4438
0.4769	0.9780	200	0.4457
0.4529	1.4670	300	0.4540
0.4553	1.9560	400	0.4345
0.4522	2.4450	500	0.4331
0.4539	2.9340	600	0.4259
0.4462	3.4230	700	0.4236
0.4408	3.9120	800	0.4333
0.4286	4.4010	900	0.4167
0.4294	4.8900	1000	0.4200

Framework versions

• Transformers 4.45.1
• Pytorch 2.1.0+cu118
• Datasets 3.0.1
• Tokenizers 0.20.0