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ET24_jieba_gpt2 – AI Model by jiang-psy-infj | AlphaNeural AI | AlphaNeural AI
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ET24_jieba_gpt2
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pytorch
tensorboard
gpt2
generated_from_trainer
openai-community/gpt2
finetune
mit
us
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ET24_jieba_gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3514
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: 70
eval_batch_size: 55
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 560
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.9425
0.31
2000
2.9762
2.7081
0.61
4000
2.7109
2.5406
0.92
6000
2.5686
2.4177
1.22
8000
2.4625
2.339
1.53
10000
2.3866
2.2898
1.83
12000
2.3514
Framework versions
Transformers 4.31.0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.13.3
