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logi – Dataset by DianaJin | AlphaNeural AI
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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
