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output_emotion – AI Model by tr-aravindan | AlphaNeural AI
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tr-aravindan
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output_emotion
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peft
safetensors
trl
sft
generated_from_trainer
emotion
openai-community/gpt2
adapter
mit
us
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output_emotion
This model is a fine-tuned version of
gpt2
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 7.0852
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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
8.5945
2.0
1800
7.5670
7.7948
4.0
3600
7.0852
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
