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ymoslem/
whisper-tiny-ga2en-v1.5

Name: whisper-tiny-ga2en-v1.5
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Whisper Tiny GA-EN Speech Translation

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. The best model (this version) is at checkpoint 700, epoch 5.19, and it achieves the following results on the evaluation set:

Loss: 2.7090
Bleu: 17.56
Chrf: 32.23
Wer: 90.4998

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Experiment

Data Augmentation (processing)

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf	Wer
0.9302	0.74	100	2.1831	8.7	24.4	114.2729
0.3304	1.48	200	2.2829	11.34	28.63	115.6686
0.1095	2.22	300	2.4409	11.35	29.53	117.4696
0.0781	2.96	400	2.5060	12.55	29.32	110.1306
0.0506	3.7	500	2.6288	16.65	31.61	91.9856
0.041	4.44	600	2.6641	15.82	31.65	96.1279
0.0335	5.19	700	2.7090	17.56	32.23	90.4998
0.0296	5.93	800	2.7257	16.61	32.11	93.0662
0.0278	6.67	900	2.7528	15.38	31.57	95.7226
0.0217	7.41	1000	2.7758	15.81	32.03	96.3980

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ymoslem/whisper-tiny-ga2en-v1.5

Whisper Tiny GA-EN Speech Translation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Experiment

Training hyperparameters

Training results

Framework versions

ymoslem/
whisper-tiny-ga2en-v1.5