xsum-gpt2-long – AI Model by qqplot23 | AlphaNeural AI

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qqplot23/
xsum-gpt2-long

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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xsum-gpt2-long

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

Loss: 3.0751
Ppl: 22.3764

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: 2
eval_batch_size: 2
seed: 22554
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2000
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
3.662	2.5	4000	3.5005	34.2753
3.3365	4.99	8000	3.2677	27.1321
3.2005	7.49	12000	3.1715	24.6352
3.1102	9.98	16000	3.1144	23.2719
3.0517	12.48	20000	3.0830	22.5529
3.0267	14.97	24000	3.0751	22.3764

Framework versions

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