End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: cnn_news_summary_model_trained_on_reduced_data
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# cnn_news_summary_model_trained_on_reduced_data
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6597
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- Rouge1: 0.2162
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- Rouge2: 0.0943
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- Rougel: 0.1834
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- Rougelsum: 0.1834
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- Generated Length: 19.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
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| No log | 1.0 | 288 | 1.6727 | 0.217 | 0.0949 | 0.1841 | 0.1839 | 19.0 |
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| 1.9118 | 2.0 | 576 | 1.6597 | 0.2162 | 0.0943 | 0.1834 | 0.1834 | 19.0 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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runs/Sep25_13-31-43_0eaab4d1fc76/events.out.tfevents.1727271104.0eaab4d1fc76.944.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7609
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