BASE_short – AI Model by qqplot23 | AlphaNeural AI | AlphaNeural AI

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BASE_short

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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BASE_short

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

Loss: 3.3241
Ppl: 28.7555

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 22554
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
4.4673	1.25	4000	4.2416	71.9939
3.8603	2.5	8000	3.7253	43.0163
3.638	3.75	12000	3.5322	35.4396
3.5229	5.01	16000	3.4322	32.0556
3.4377	6.26	20000	3.3749	30.2611
3.3972	7.51	24000	3.3411	29.2534
3.3688	8.76	28000	3.3241	28.7555

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1