tsel_distilgpt – AI Model by dev-ninja | AlphaNeural AI

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dev-ninja/
tsel_distilgpt

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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tsel_distilgpt

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

Loss: 5.6157

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	5.9501
No log	2.0	2	5.8630
No log	3.0	3	5.7924
No log	4.0	4	5.7383
No log	5.0	5	5.6969
No log	6.0	6	5.6665
No log	7.0	7	5.6445
No log	8.0	8	5.6297
No log	9.0	9	5.6202
No log	10.0	10	5.6157

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3