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--- |
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base_model: ./checkpoints/checkpoint-13800 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Teli5 |
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results: [] |
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datasets: |
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- rusano/ELI5_custom |
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- rusano/ELI5_custom_encoded |
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language: |
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- en |
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metrics: |
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- glue |
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library_name: transformers |
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pipeline_tag: question-answering |
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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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# Teli5 |
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This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the [rusano/ELI5_custom](https://huggingface.co/datasets/rusano/ELI5_custom) dataset. |
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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: 0.0001 |
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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: 3 |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
