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jiangnan-gpt2 – AI Model by jiang-psy-infj | AlphaNeural AI
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jiangnan-gpt2
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
zh
openai-community/gpt2
finetune
mit
text-generation-inference
endpoints_compatible
us
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jiangnan-gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3111
Model description
causal language model, tokenizer based on Chinese words.
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
3.8773
0.3
2000
2.9219
2.6651
0.6
4000
2.6712
2.5012
0.9
6000
2.5307
2.3838
1.2
8000
2.4271
2.3019
1.5
10000
2.3489
2.2531
1.8
12000
2.3111
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
