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home-batch_9_2000_-text-classification – AI Model by rorschach-40 | AlphaNeural AI
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home-batch_9_2000_-text-classification
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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home-batch_9_2000_-text-classification
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4043
Precision: 0.9111
Recall: 0.8723
F1: 0.8913
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: 0.0003
train_batch_size: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
No log
1.0
25
0.2516
0.8980
0.9362
0.9167
No log
2.0
50
0.3107
0.8846
0.9787
0.9293
No log
3.0
75
0.4043
0.9111
0.8723
0.8913
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
