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sft_openassistant-guanaco – AI Model by ke-lly | AlphaNeural AI
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sft_openassistant-guanaco
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peft
safetensors
trl
sft
generated_from_trainer
generator
openai-community/gpt2
adapter
mit
us
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Model card
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sft_openassistant-guanaco
This model is a fine-tuned version of
openai-community/gpt2
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 3.1064
Accuracy: 0.0190
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.7182
0.01
3
3.1069
0.0190
3.3356
0.02
6
3.1068
0.0190
3.2158
0.03
9
3.1066
0.0190
3.4288
0.04
12
3.1065
0.0190
3.5899
0.04
15
3.1064
0.0190
3.6934
0.05
18
3.1064
0.0190
Framework versions
PEFT 0.9.0
Transformers 4.37.0
Pytorch 2.0.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1
