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-large
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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: 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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# model
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9659
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- Rouge1: 0.6514
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- Rouge2: 0.5278
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- Rougel: 0.6214
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- Rougelsum: 0.6209
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- Gen Len: 19.9082
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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: 4
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- eval_batch_size: 4
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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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| 0.9746 | 1.0 | 3363 | 0.9969 | 0.6465 | 0.5254 | 0.6176 | 0.6175 | 19.9014 |
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| 0.7439 | 2.0 | 6726 | 0.9272 | 0.6516 | 0.5291 | 0.6221 | 0.6216 | 19.8652 |
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| 0.5953 | 3.0 | 10089 | 0.9432 | 0.6533 | 0.5293 | 0.6231 | 0.6228 | 19.8943 |
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| 0.4824 | 4.0 | 13452 | 0.9659 | 0.6514 | 0.5278 | 0.6214 | 0.6209 | 19.9082 |
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "4.39.2"
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}
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model.safetensors
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runs/Mar30_01-59-38_e62ef78e47c0/events.out.tfevents.1711763979.e62ef78e47c0.979.0
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