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Training complete
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README.md
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---
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license: mit
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base_model: facebook/mbart-large-50
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: mbart-large-50-finetuned-latest2
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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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# mbart-large-50-finetuned-latest2
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7745
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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: 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: 100
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- num_epochs: 8
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 183 | 2.7751 |
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| No log | 2.0 | 367 | 2.7959 |
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| No log | 3.0 | 550 | 2.4704 |
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| No log | 4.0 | 734 | 2.4475 |
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| No log | 5.0 | 917 | 2.4498 |
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| No log | 6.0 | 1101 | 2.4558 |
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| No log | 6.99 | 1284 | 2.4719 |
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| No log | 7.98 | 1464 | 2.7745 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2
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- Datasets 2.15.0
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- Tokenizers 0.15.2
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generation_config.json
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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_eos_token_id": 2,
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"max_length": 200,
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"num_beams": 5,
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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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runs/Apr07_07-03-40_1c71aa4b2728/events.out.tfevents.1712473422.1c71aa4b2728.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef333f5f7461cfa3521a69f12c2facb82f79e4dc69f61f86de481ea0e3320009
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size 8035
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