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README.md ADDED
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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: dialogsum_6593_bart-base
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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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+ # dialogsum_6593_bart-base
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+
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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: 0.3997
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+ - Rouge1: 0.4226
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+ - Rouge2: 0.2139
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+ - Rougel: 0.3698
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+ - Rougelsum: 0.37
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+ - Gen Len: 19.86
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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: 5e-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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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 64
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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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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+ | 0.3756 | 2.57 | 500 | 0.4106 | 0.4083 | 0.19 | 0.3536 | 0.3534 | 19.944 |
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+ | 0.2843 | 5.14 | 1000 | 0.4048 | 0.422 | 0.2134 | 0.3678 | 0.3681 | 19.848 |
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+ | 0.2561 | 7.7 | 1500 | 0.3997 | 0.4226 | 0.2139 | 0.3698 | 0.37 | 19.86 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/bart-base",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.1,
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+ "classifier_dropout": 0.0,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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