finetuned-gpt2-model – AI Model by 05deepak | AlphaNeural AI

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05deepak/
finetuned-gpt2-model

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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finetuned-gpt2-model

This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2749

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	147	0.2728
No log	2.0	294	0.2595
No log	3.0	441	0.2591
0.3157	4.0	588	0.2594
0.3157	5.0	735	0.2644
0.3157	6.0	882	0.2648
0.2486	7.0	1029	0.2684
0.2486	8.0	1176	0.2746
0.2486	9.0	1323	0.2729
0.2486	10.0	1470	0.2749

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1