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assignment3_model – AI Model by shmagi | AlphaNeural AI | AlphaNeural AI
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shmagi
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assignment3_model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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assignment3_model
This model is a fine-tuned version of
prajjwal1/bert-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3145
Accuracy: 0.9112
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2632
1.0
4598
0.3168
0.9104
0.2633
2.0
9196
0.3145
0.9112
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
