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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- resumes_t2json_large
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metrics:
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- rouge
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model-index:
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- name: t5-base-finetuned-resumes_t2json_large
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: resumes_t2json_large
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type: resumes_t2json_large
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 4.3177
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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-base-finetuned-resumes_t2json_large
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the resumes_t2json_large dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 4.3177
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- Rouge2: 1.1704
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- Rougel: 3.5786
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- Rougelsum: 3.7496
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- Gen Len: 18.4438
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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: 10
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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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| 0.0 | 1.0 | 10280 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 2.0 | 20560 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 3.0 | 30840 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 4.0 | 41120 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 5.0 | 51400 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 6.0 | 61680 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 7.0 | 71960 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 8.0 | 82240 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 9.0 | 92520 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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| 0.0 | 10.0 | 102800 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.9.0
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- Tokenizers 0.12.1
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