hindi_gpt2 – AI Model by sushant-iit | AlphaNeural AI

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sushant-iit/
hindi_gpt2

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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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: 1.9772

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
4.9843	0.48	500	3.1384
2.7769	0.95	1000	2.5036
2.4479	1.43	1500	2.3352
2.3239	1.9	2000	2.2456
2.2272	2.38	2500	2.1854
2.1782	2.86	3000	2.1405
2.1102	3.33	3500	2.1053
2.0774	3.81	4000	2.0731
2.0276	4.29	4500	2.0551
1.9978	4.76	5000	2.0267
1.9624	5.24	5500	2.0143
1.9351	5.71	6000	1.9955
1.914	6.19	6500	1.9894
1.8886	6.67	7000	1.9807
1.8806	7.14	7500	1.9780
1.8692	7.62	8000	1.9772

Framework versions

Transformers 4.39.3
Pytorch 2.4.0.dev20240415
Datasets 2.18.0
Tokenizers 0.15.2