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bart-base-finetuned – AI Model by zera09 | AlphaNeural AI

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zera09/
bart-base-finetuned

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-finetuned

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.8173
eval_rouge1: 47.6529
eval_rouge2: 30.9754
eval_rougeL: 44.3686
eval_rougeLsum: 44.4155
eval_gen_len: 18.2806
eval_runtime: 75.385
eval_samples_per_second: 21.224
eval_steps_per_second: 1.327
epoch: 7.0
step: 2800

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1