reward-gpt – AI Model by bradmin | AlphaNeural AI

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bradmin/
reward-gpt

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text-classification

generated_from_trainer

EleutherAI/polyglot-ko-1.3b

autotrain_compatible

text-generation-inference

endpoints_compatible

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reward-gpt

This model is a fine-tuned version of EleutherAI/polyglot-ko-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0084
Accuracy: 0.0

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: 9e-06
train_batch_size: 4
eval_batch_size: 4
seed: 2023
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1952	0.13	100	0.0789	0.0
0.0753	0.25	200	0.0183	0.0
0.0789	0.38	300	0.0273	0.0
0.1131	0.5	400	0.0146	0.0
0.0998	0.63	500	0.0134	0.0
0.0686	0.75	600	0.0079	0.0
0.069	0.88	700	0.0084	0.0

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1