End of training
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README.md
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---
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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: t5-small-finetuned-mlsum-de
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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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# t5-small-finetuned-mlsum-de
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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: 1.6917
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- Rouge1: 25.924
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- Rouge2: 17.2398
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- Rougel: 24.0239
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- Rougelsum: 24.6845
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- Gen Len: 18.9879
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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: 32
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- eval_batch_size: 32
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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: 3
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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 | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 0.9987 | 1.0 | 6899 | 1.7184 | 25.6352 | 17.0364 | 23.7635 | 24.4065 | 18.9903 |
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| 0.9624 | 2.0 | 13798 | 1.6996 | 25.8132 | 17.1732 | 23.9131 | 24.5744 | 18.9885 |
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| 0.9902 | 3.0 | 20697 | 1.6917 | 25.924 | 17.2398 | 24.0239 | 24.6845 | 18.9879 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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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": "4.37.2"
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}
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model.safetensors
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runs/Feb07_04-18-52_819c6eb87b51/events.out.tfevents.1707279536.819c6eb87b51.2124.5
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