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distilbert-sentiment-cpt-v2 – AI Model by wsklee | AlphaNeural AI
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wsklee
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distilbert-sentiment-cpt-v2
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transformers
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-sentiment-cpt-v2
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1448
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: 0.0005
train_batch_size: 128
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
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_ratio: 0.1
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
2.1641
5.5471
1000
2.1448
Framework versions
Transformers 4.46.2
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
