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multinews_cnn_logs
BeenaSamuel/multinews_cnn_logs
multinews_cnn_logs is a summarization model from BeenaSamuel. Use it when you need a shorter version of a longer text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Apr 20, 2024
- SHA
- 17334323
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Summarization
- Library
- transformers
- Type
- t5
- Created
- Apr 19, 2024
- Updated
- Apr 20, 2024