End of training
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README.md
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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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- bleu
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model-index:
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- name: emnlp_test_9clusters_bart_large_sati
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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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# emnlp_test_9clusters_bart_large_sati
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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: 0.5178
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- Bleu: 83.1112
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- Gen Len: 10.6083
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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: 64
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- eval_batch_size: 64
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
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| 0.1866 | 2.3303 | 15000 | 0.5819 | 80.4332 | 11.3463 |
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| 0.1127 | 4.6606 | 30000 | 0.5120 | 82.2508 | 10.6137 |
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| 0.0774 | 6.9908 | 45000 | 0.4587 | 82.8524 | 10.6968 |
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| 0.0574 | 9.3211 | 60000 | 0.5178 | 83.1112 | 10.6083 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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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": "4.41.2"
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}
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model.safetensors
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size 1625426996
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runs/Jul12_23-48-07_cfb50db91b80/events.out.tfevents.1720828089.cfb50db91b80.33664.0
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size
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size 35301
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