gpt1B_reward_model3 – AI Model by thorirhrafn | AlphaNeural AI

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thorirhrafn/
gpt1B_reward_model3

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AI-Sweden-Models/gpt-sw3-1.3b

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gpt1B_reward_model3

This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0352
Accuracy: 0.9861

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: 2e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3575	0.11	25	0.2206	0.9306
0.1995	0.21	50	0.1291	0.9688
0.0682	0.32	75	0.0842	0.9792
0.1319	0.43	100	0.0618	0.9792
0.0931	0.54	125	0.0486	0.9826
0.0669	0.64	150	0.0402	0.9861
0.0329	0.75	175	0.0365	0.9861
0.0237	0.86	200	0.0350	0.9861
0.0229	0.97	225	0.0352	0.9861

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2