Navanjana
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End of training
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README.md
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: my_awesome_billsum_model
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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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# my_awesome_billsum_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6045
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- Rouge1: 0.2389
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- Rouge2: 0.1905
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- Rougel: 0.2306
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- Rougelsum: 0.2307
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- Gen Len: 18.9982
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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: 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: 4
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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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| 1.9769 | 1.0 | 1895 | 1.7147 | 0.2325 | 0.1837 | 0.2227 | 0.2227 | 19.0 |
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| 1.837 | 2.0 | 3790 | 1.6430 | 0.2369 | 0.1884 | 0.2283 | 0.2283 | 19.0 |
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| 1.7849 | 3.0 | 5685 | 1.6137 | 0.2387 | 0.1901 | 0.2304 | 0.2304 | 18.9982 |
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| 1.7791 | 4.0 | 7580 | 1.6045 | 0.2389 | 0.1905 | 0.2306 | 0.2307 | 18.9982 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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generation_config.json
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{
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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": "4.35.2"
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}
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model.safetensors
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runs/Jan16_08-50-19_bf1acaba6367/events.out.tfevents.1705395021.bf1acaba6367.527.0
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