Pageee/DistilFT-English-10ma

DistilFT-English-10m

This model is a fine-tuned version of distil-small.en on the librispeech dataset. It achieves the following results on the evaluation set:

• Loss: 0.5012
• Wer: 3.5814

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: 5e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5641	33.3333	100	0.9641	3.4754
0.3271	66.6667	200	0.7822	3.4652
0.0871	100.0	300	0.5731	3.4530
0.0149	133.3333	400	0.5142	3.4774
0.0043	166.6667	500	0.5051	3.5345
0.0026	200.0	600	0.5030	3.5569
0.002	233.3333	700	0.5020	3.5671
0.0016	266.6667	800	0.5015	3.5773
0.0014	300.0	900	0.5013	3.5936
0.0014	333.3333	1000	0.5012	3.5814

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1