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gpt2_finetuned_SparC_Hugging_face – AI Model by iffatN | AlphaNeural AI
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gpt2_finetuned_SparC_Hugging_face
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2_finetuned_SparC_Hugging_face
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9575
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: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9133
1.0
95
0.9611
0.9644
2.0
190
0.9500
0.8763
3.0
285
0.9580
0.8368
4.0
380
0.9509
0.8647
5.0
475
0.9518
0.865
6.0
570
0.9575
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
