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mental_health_gpt2 – AI Model by ali9999 | AlphaNeural AI
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ali9999
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mental_health_gpt2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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mental_health_gpt2
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5340
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.8297
1.0
1810
1.7047
1.6464
2.0
3620
1.6081
1.6108
3.0
5430
1.5645
1.5652
4.0
7240
1.5420
1.4691
5.0
9050
1.5340
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
