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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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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: test-dialogue-summarization |
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results: [] |
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pipeline_tag: summarization |
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library_name: transformers |
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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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# test-dialogue-summarization |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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eval_loss: 0.8548385500907898, |
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eval_rouge1: 66.4768, |
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eval_rouge2: 48.5059, |
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eval_rougeL: 55.6107, |
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eval_rougeLsum: 64.379, |
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eval_gen_len: 135.19, |
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eval_runtime: 106.4023, |
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eval_samples_per_second: 0.94, |
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eval_steps_per_second: 0.235, |
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epoch: 5.0 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 5 |
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### Training results |
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Epoch Training Loss Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len |
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1 No log 0.968213 59.682700 35.068600 44.651000 56.618200 137.666700 |
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2 No log 0.961468 61.080300 37.609500 47.390200 58.380500 134.193300 |
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3 No log 0.965955 62.082900 39.734400 48.736800 59.302500 135.833300 |
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4 No log 0.975513 63.494900 42.147500 50.690800 60.831800 134.246700 |
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5 No log 0.983745 64.556600 43.555200 51.977700 61.979700 134.180000 |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.2 |
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- Tokenizers 0.13.3 |
