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cse585bert – AI Model by justpaul | AlphaNeural AI
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cse585bert
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cse585bert
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 14625.8359
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
22820.6387
1.0
1309
16363.9248
15753.9679
2.0
2618
15068.3984
14836.2292
3.0
3927
14740.0479
14575.505
4.0
5236
14795.6504
14524.139
5.0
6545
14625.8359
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.0.2
Tokenizers 0.20.1
