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Amanaccessassist
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DistilledSent10m

Text Classification
Transformers
Safetensors
English
roberta
text-embeddings-inference
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@@ -30,11 +30,20 @@ Precisison: 92%
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  # Fine Tune Parameters
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  No of epochs: 3
 
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  Batch Size: 16
 
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  evaluation startegy: epoch
 
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  optimiser:Adamw
 
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  learning_rate:2e-5
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- Monitoring Train & Evaluation:WANDB
 
 
 
 
 
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  # Train
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  train_runtime': 1594.4072, 'train_samples_per_second': 80.281, 'train_steps_per_second': 0.627, 'total_flos': 5589761482241280.0, 'train_loss': 0.26639655661582945, 'epoch': 0.22
 
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  # Fine Tune Parameters
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  No of epochs: 3
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  Batch Size: 16
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  evaluation startegy: epoch
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  optimiser:Adamw
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  learning_rate:2e-5
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+ max_steps:1000
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+ warmup_step: 100
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+ Monitoring Train & Evaluation:WANDB API
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  # Train
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  train_runtime': 1594.4072, 'train_samples_per_second': 80.281, 'train_steps_per_second': 0.627, 'total_flos': 5589761482241280.0, 'train_loss': 0.26639655661582945, 'epoch': 0.22