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dish_rec_clm – AI Model by harshh1307 | AlphaNeural AI
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harshh1307
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dish_rec_clm
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dish_rec_clm
This model is a fine-tuned version of
distilbert/distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3795
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.6101
1.0
1124
0.4599
0.4837
2.0
2248
0.3961
0.4429
3.0
3372
0.3795
Framework versions
Transformers 4.30.2
Pytorch 1.13.1+cu117
Datasets 2.13.2
Tokenizers 0.13.3
