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cs221-xlnet-large-cased-finetuned-8-epochs-10-epochs – AI Model by sercetexam9 | AlphaNeural AI
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cs221-xlnet-large-cased-finetuned-8-epochs-10-epochs
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transformers
safetensors
xlnet
text-classification
generated_from_trainer
sercetexam9/cs221-xlnet-large-cased-finetuned-8-epochs
finetune
mit
autotrain_compatible
endpoints_compatible
us
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cs221-xlnet-large-cased-finetuned-8-epochs-10-epochs
This model is a fine-tuned version of
sercetexam9/cs221-xlnet-large-cased-finetuned-8-epochs
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5752
Bce Loss: 0.5752
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bce Loss
0.5748
1.0
139
0.5752
0.5752
0.5384
2.0
278
0.5796
0.5796
Framework versions
Transformers 4.47.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.21.0
