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group8qna_gpt2__27janV001 – AI Model by jeevana | AlphaNeural AI
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group8qna_gpt2__27janV001
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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group8qna_gpt2__27janV001
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9729
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.9878
0.47
100
2.1829
1.9811
0.93
200
2.0764
1.4933
1.4
300
2.0009
1.3546
1.87
400
1.9729
Framework versions
Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
