finetuningtest – AI Model by danielkosyra | AlphaNeural AI | AlphaNeural AI

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danielkosyra/
finetuningtest

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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finetuningtest

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.7542

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: 0.0005
train_batch_size: 15
eval_batch_size: 15
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 120
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	180	5.4889
No log	2.0	360	4.6958
No log	3.0	540	4.2670
No log	4.0	720	4.0355
No log	5.0	900	3.9067
No log	6.0	1080	3.8282
No log	7.0	1260	3.7552
No log	8.0	1440	3.7185
No log	9.0	1620	3.7286
No log	10.0	1800	3.7542

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1