jordanfan commited on
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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-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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+ - wer
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+ model-index:
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+ - name: bart_extractive_512_500
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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_extractive_512_500
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9749
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+ - Rouge1: 0.7
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+ - Rouge2: 0.4441
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+ - Rougel: 0.6408
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+ - Rougelsum: 0.6409
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+ - Wer: 0.4458
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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: 6
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+ - eval_batch_size: 6
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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: 2
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+ - mixed_precision_training: Native AMP
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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 | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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+ | No log | 0.13 | 250 | 1.2262 | 0.6523 | 0.3774 | 0.5876 | 0.5877 | 0.5064 |
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+ | 2.0992 | 0.27 | 500 | 1.1233 | 0.6736 | 0.4029 | 0.6091 | 0.6091 | 0.4868 |
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+ | 2.0992 | 0.4 | 750 | 1.1033 | 0.6826 | 0.4152 | 0.6187 | 0.6188 | 0.4768 |
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+ | 1.1914 | 0.53 | 1000 | 1.0645 | 0.6812 | 0.4159 | 0.6178 | 0.618 | 0.4713 |
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+ | 1.1914 | 0.66 | 1250 | 1.0493 | 0.6845 | 0.4206 | 0.6217 | 0.6219 | 0.4673 |
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+ | 1.1319 | 0.8 | 1500 | 1.0348 | 0.6906 | 0.427 | 0.6292 | 0.6292 | 0.4649 |
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+ | 1.1319 | 0.93 | 1750 | 1.0227 | 0.6893 | 0.4289 | 0.6286 | 0.6287 | 0.4596 |
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+ | 1.0853 | 1.06 | 2000 | 1.0093 | 0.6898 | 0.4297 | 0.6298 | 0.6298 | 0.4575 |
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+ | 1.0853 | 1.2 | 2250 | 1.0045 | 0.6981 | 0.4381 | 0.6376 | 0.6377 | 0.4547 |
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+ | 0.9975 | 1.33 | 2500 | 0.9967 | 0.6964 | 0.4394 | 0.6368 | 0.6369 | 0.4511 |
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+ | 0.9975 | 1.46 | 2750 | 0.9863 | 0.6995 | 0.4419 | 0.6401 | 0.6403 | 0.4495 |
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+ | 0.997 | 1.6 | 3000 | 0.9844 | 0.7016 | 0.4441 | 0.642 | 0.6421 | 0.4483 |
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+ | 0.997 | 1.73 | 3250 | 0.9819 | 0.6982 | 0.4431 | 0.6399 | 0.64 | 0.4476 |
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+ | 0.9651 | 1.86 | 3500 | 0.9746 | 0.6994 | 0.4441 | 0.6404 | 0.6406 | 0.4456 |
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+ | 0.9651 | 1.99 | 3750 | 0.9749 | 0.7 | 0.4441 | 0.6408 | 0.6409 | 0.4458 |
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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 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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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": "4.38.2"
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+ }
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