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gpt2-large-lora-sft – AI Model by Mikivis | AlphaNeural AI
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Mikivis
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gpt2-large-lora-sft
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transformers
pytorch
safetensors
gpt2
text-generation
generated_from_trainer
customized
openai-community/gpt2-large
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-large-lora-sft
This model is a fine-tuned version of
gpt2-large
on the customized dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.00013
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 6
total_train_batch_size: 6
total_eval_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.5
Training results
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.10.1
Tokenizers 0.13.3
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
28.05
ARC (25-shot)
26.79
HellaSwag (10-shot)
44.15
MMLU (5-shot)
25.82
TruthfulQA (0-shot)
39.06
Winogrande (5-shot)
55.09
GSM8K (5-shot)
0.0
DROP (3-shot)
5.46
