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RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleFalse_extractchosenTrue – AI Model by Holarissun | AlphaNeural AI
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RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleFalse_extractchosenTrue
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transformers
safetensors
gpt2
text-classification
trl
reward-trainer
generated_from_trainer
openai-community/gpt2-large
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
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RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleFalse_extractchosenTrue
This model is a fine-tuned version of
openai-community/gpt2-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0405
Accuracy: 0.9850
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: 1.41e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5457
0.17
250
0.0874
0.9654
0.5152
0.34
500
0.0660
0.9739
0.4916
0.51
750
0.0556
0.9804
0.4953
0.68
1000
0.0453
0.9827
0.4827
0.85
1250
0.0405
0.9850
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
