Training complete.
Browse files- README.md +64 -0
- generation_config.json +7 -0
README.md
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---
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license: apache-2.0
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base_model: google-t5/t5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: t5base-news
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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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# t5base-news
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2066
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.5053 | 0.1779 | 500 | 2.3034 |
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| 2.4682 | 0.3558 | 1000 | 2.2446 |
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| 2.4079 | 0.5337 | 1500 | 2.2243 |
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| 2.46 | 0.7116 | 2000 | 2.2127 |
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| 2.388 | 0.8894 | 2500 | 2.2066 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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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": "4.44.0"
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}
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