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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- /home/ullriher/ullriher/src/datasets/feversum3.py |
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model-index: |
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- name: t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30 |
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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-xsum_feversum3_text2claim_bs2_ep30 |
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This model is a fine-tuned version of [/home/ullriher/ullriher/models/claimext23/t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30/checkpoint-4500](https://huggingface.co//home/ullriher/ullriher/models/claimext23/t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30/checkpoint-4500) on the /home/ullriher/ullriher/src/datasets/feversum3.py 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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 3.0 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.9.0 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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