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multinews_cnn_logs – AI Model by BeenaSamuel | AlphaNeural AI

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BeenaSamuel/
multinews_cnn_logs

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text2text-generation

generated_from_trainer

BeenaSamuel/t5_cnn_daily_mail_abstractive_summarizer_v2

text-generation-inference

endpoints_compatible

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multinews_cnn_logs

This model is a fine-tuned version of BeenaSamuel/t5_cnn_daily_mail_abstractive_summarizer_v2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.8039
eval_rouge1: 0.5189
eval_rouge2: 0.1941
eval_rougeL: 0.397
eval_gen_len: 311.236
eval_runtime: 1446.5993
eval_samples_per_second: 3.886
eval_steps_per_second: 0.486
epoch: 4.84
step: 3400

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2