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hindi_gpt2 – AI Model by NebulaByte | AlphaNeural AI
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hindi_gpt2
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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hindi_gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9187
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: 0.0005
train_batch_size: 40
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 400
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
4.694
0.18
400
2.7361
2.3952
0.35
800
2.1608
2.1311
0.53
1200
2.0237
2.0282
0.71
1600
1.9518
1.9731
0.89
2000
1.9187
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3
