GouthamVignesh
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Commit
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End of training
Browse files- README.md +82 -0
- generation_config.json +7 -0
- logs/events.out.tfevents.1676027017.ip-101-0-11-47.25488.6 +2 -2
- logs/events.out.tfevents.1676041328.ip-101-0-11-47.25488.8 +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +113 -0
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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- govreport-summarization
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metrics:
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- rouge
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model-index:
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- name: flan-t5-gov-report-sum
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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: govreport-summarization
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type: govreport-summarization
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config: document
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split: test
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args: document
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metrics:
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- name: Rouge1
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type: rouge
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value: 5.8729
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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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# flan-t5-gov-report-sum
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the govreport-summarization dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2385
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- Rouge1: 5.8729
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- Rouge2: 3.0763
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- Rougel: 5.1016
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- Rougelsum: 5.646
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- Gen Len: 19.0
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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: 8
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- eval_batch_size: 8
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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: 5
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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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| 2.5801 | 1.0 | 2190 | 2.3211 | 5.6226 | 2.9142 | 4.9535 | 5.417 | 19.0 |
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| 2.5125 | 2.0 | 4380 | 2.2748 | 5.7982 | 3.0365 | 5.0726 | 5.5837 | 19.0 |
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| 2.453 | 3.0 | 6570 | 2.2545 | 5.8744 | 3.0997 | 5.1196 | 5.6524 | 19.0 |
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| 2.436 | 4.0 | 8760 | 2.2430 | 5.8669 | 3.0525 | 5.0849 | 5.631 | 19.0 |
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| 2.4144 | 5.0 | 10950 | 2.2385 | 5.8729 | 3.0763 | 5.1016 | 5.646 | 19.0 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.11.0+cu102
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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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": "4.26.1"
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}
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logs/events.out.tfevents.1676027017.ip-101-0-11-47.25488.6
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logs/events.out.tfevents.1676041328.ip-101-0-11-47.25488.8
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special_tokens_map.json
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spiece.model
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version https://git-lfs.github.com/spec/v1
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size 791656
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tokenizer.json
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tokenizer_config.json
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