distilgpt2-finetuned-brookstraining – AI Model by sgolkar | AlphaNeural AI

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sgolkar/
distilgpt2-finetuned-brookstraining

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text-generation

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autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-finetuned-brookstraining

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.6363

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	201	4.1881
No log	2.0	402	4.0630
4.3174	3.0	603	3.9803
4.3174	4.0	804	3.9193
4.0754	5.0	1005	3.8654
4.0754	6.0	1206	3.8216
4.0754	7.0	1407	3.7805
3.9638	8.0	1608	3.7475
3.9638	9.0	1809	3.7168
3.8825	10.0	2010	3.6928
3.8825	11.0	2211	3.6715
3.8825	12.0	2412	3.6567
3.8238	13.0	2613	3.6455
3.8238	14.0	2814	3.6389
3.7844	15.0	3015	3.6363

Framework versions

Transformers 4.27.4
Pytorch 1.13.1
Datasets 2.11.0
Tokenizers 0.11.0