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Training completed!
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README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: pegasus-200tok-summaries-bert-base-cased-news-16batch_3epoch_2e5lr_01wd
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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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# pegasus-200tok-summaries-bert-base-cased-news-16batch_3epoch_2e5lr_01wd
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2990
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- F1: 0.9197
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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: 16
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- eval_batch_size: 16
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- seed: 47
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.0751 | 1.0 | 3124 | 0.2061 | 0.9120 |
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| 0.0336 | 2.0 | 6248 | 0.2623 | 0.9134 |
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| 0.0168 | 3.0 | 9372 | 0.2990 | 0.9197 |
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### Framework versions
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- Transformers 4.35.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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runs/Dec09_13-43-45_gr002.hpc.nyu.edu/events.out.tfevents.1702147426.gr002.hpc.nyu.edu.1750076.0
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