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End of training

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  1. README.md +64 -0
  2. generation_config.json +12 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: GuysTrans/bart-base-re-attention-mini-seq-512
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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-base-re-attention-seq-512
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+ results: []
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+ ---
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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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+
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+ # bart-base-re-attention-seq-512
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+
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+ This model is a fine-tuned version of [GuysTrans/bart-base-re-attention-mini-seq-512](https://huggingface.co/GuysTrans/bart-base-re-attention-mini-seq-512) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 7.6998
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+ - Rouge1: 6.674
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+ - Rouge2: 0.0241
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+ - Rougel: 5.6833
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+ - Rougelsum: 6.243
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+ - Gen Len: 19.9994
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 6.1356 | 1.0 | 14598 | 7.6998 | 6.674 | 0.0241 | 5.6833 | 6.243 | 19.9994 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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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": "4.33.0"
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+ }
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