distilgpt2-finetuned-jhegarty-texts – AI Model by mrm8488 | AlphaNeural AI

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distilgpt2-finetuned-jhegarty-texts

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distilgpt2-finetuned-jhegarty-texts

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

Loss: 4.3836

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	25	4.5809
No log	2.0	50	4.4779
No log	3.0	75	4.4297
No log	4.0	100	4.3971
No log	5.0	125	4.3905
No log	6.0	150	4.3846
No log	7.0	175	4.3848
No log	8.0	200	4.3847
No log	9.0	225	4.3836

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3