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gpt2-finetuned-mental-health-data – AI Model by JC-24 | AlphaNeural AI

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JC-24/
gpt2-finetuned-mental-health-data

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vicgalle/gpt2-open-instruct-v1

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gpt2-finetuned-mental-health-data

This model is a fine-tuned version of vicgalle/gpt2-open-instruct-v1 on an unknown dataset.

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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1