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: facebook/bart-base
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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: bart_samsum_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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# bart_samsum_model
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5355
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- Rouge1: 0.4698
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- Rouge2: 0.2352
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- Rougel: 0.397
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- Rougelsum: 0.3963
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- Gen Len: 18.1368
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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: 3
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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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| 1.8239 | 1.0 | 1842 | 1.5911 | 0.4604 | 0.2229 | 0.3882 | 0.3878 | 18.5128 |
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| 1.6012 | 2.0 | 3684 | 1.5462 | 0.4648 | 0.2332 | 0.395 | 0.3945 | 17.9866 |
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| 1.4771 | 3.0 | 5526 | 1.5355 | 0.4698 | 0.2352 | 0.397 | 0.3963 | 18.1368 |
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### Framework versions
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- Transformers 4.36.2
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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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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.36.2"
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}
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model.safetensors
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runs/Jan09_00-08-48_83bfa6009420/events.out.tfevents.1704758930.83bfa6009420.409.0
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