DianaJin/logi

jinkrsmodel

This model is a fine-tuned version of openai/whisper-medium on the DianaJin/logi dataset. It achieves the following results on the evaluation set:

• Loss: 3.2265
• Cer: 100.0

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0004	250.0	500	2.3248	100.0
0.0002	500.0	1000	2.3827	100.0
0.0002	750.0	1500	2.9600	100.0
0.0002	1000.0	2000	3.2265	100.0

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0