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gpt7B_domar_sum – AI Model by thorirhrafn | AlphaNeural AI
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gpt7B_domar_sum
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peft
tensorboard
safetensors
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AI-Sweden-Models/gpt-sw3-6.7b
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gpt7B_domar_sum
This model is a fine-tuned version of
AI-Sweden-Models/gpt-sw3-6.7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7338
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: 0.0001
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.7244
1.99
500
0.7355
0.641
3.97
1000
0.7338
Framework versions
PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2
