GPT2-705M-finaltest – AI Model by ninagroot | AlphaNeural AI

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ninagroot/
GPT2-705M-finaltest

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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GPT2-705M

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

Loss: 3.5063

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: 0.00025
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.8119	1.0	3	6.8091
6.6598	2.0	6	6.8246
6.0219	3.0	9	6.2434
5.1608	4.0	12	5.4866
4.6874	5.0	15	5.7119
4.7554	6.0	18	4.9916
4.3244	7.0	21	4.8076
4.3358	8.0	24	4.7170
4.3353	9.0	27	4.4035
4.0477	10.0	30	4.1959
3.7513	11.0	33	3.9729
3.7101	12.0	36	3.8325
3.333	13.0	39	3.7540
3.3225	14.0	42	3.6116
2.9902	15.0	45	3.5063

Framework versions

Transformers 4.39.1
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0