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focus_sum_gpt2 – AI Model by eagles | AlphaNeural AI
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eagles
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focus_sum_gpt2
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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focus_sum_gpt2
This model is a fine-tuned version of
uer/gpt2-chinese-cluecorpussmall
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1917
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: 5e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
Training results
Training Loss
Epoch
Step
Validation Loss
1.5
15.15
500
1.1917
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1
