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cou_proj – AI Model by saikrishnaavula | AlphaNeural AI
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saikrishnaavula
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cou_proj
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transformers
safetensors
bert
text-generation
generated_from_trainer
saikrishnaavula/cou_proj
finetune
autotrain_compatible
endpoints_compatible
us
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cou_proj
This model is a fine-tuned version of
saikrishnaavula/cou_proj
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0395
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0133
0.55
100
0.0395
Framework versions
Transformers 4.36.0
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.1