wiki_asp-soccer_player_9240_bart-base – AI Model by baek26 | AlphaNeural AI

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baek26/
wiki_asp-soccer_player_9240_bart-base

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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wiki_asp-soccer_player_9240_bart-base

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

Loss: 2.2561
Rouge1: 0.0369
Rouge2: 0.0124
Rougel: 0.0314
Rougelsum: 0.0316
Gen Len: 7.0433

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.82	500	2.5528	0.0155	0.0047	0.0125	0.0125	4.4707
No log	3.64	1000	2.3699	0.0285	0.0099	0.0239	0.0241	5.6349
No log	5.45	1500	2.3079	0.0155	0.0055	0.0131	0.0132	4.4819
2.6218	7.27	2000	2.2763	0.0319	0.0107	0.0272	0.0273	6.2228
2.6218	9.09	2500	2.2561	0.0369	0.0124	0.0314	0.0316	7.0433

Framework versions

Transformers 4.38.2
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2