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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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