End of training
Browse files- README.md +86 -0
- generation_config.json +13 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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- name: pubmed-mixed-noise-v3-0.5
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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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# pubmed-mixed-noise-v3-0.5
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8977
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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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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| 1.6463 | 0.11 | 500 | 1.4928 |
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| 1.4367 | 0.21 | 1000 | 1.3112 |
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| 1.3415 | 0.32 | 1500 | 1.2125 |
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| 1.2466 | 0.43 | 2000 | 1.1661 |
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| 1.1417 | 0.54 | 2500 | 1.1133 |
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| 1.1749 | 0.64 | 3000 | 1.0694 |
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| 1.1272 | 0.75 | 3500 | 1.0524 |
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| 1.1683 | 0.86 | 4000 | 1.0289 |
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| 1.0353 | 0.96 | 4500 | 1.0149 |
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| 0.9557 | 1.07 | 5000 | 1.0026 |
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| 0.9627 | 1.18 | 5500 | 0.9882 |
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| 0.9371 | 1.28 | 6000 | 0.9813 |
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| 0.9498 | 1.39 | 6500 | 0.9642 |
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| 0.9903 | 1.5 | 7000 | 0.9578 |
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| 0.9031 | 1.61 | 7500 | 0.9493 |
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| 0.8613 | 1.71 | 8000 | 0.9403 |
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| 0.8746 | 1.82 | 8500 | 0.9345 |
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| 0.8455 | 1.93 | 9000 | 0.9277 |
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| 0.7622 | 2.03 | 9500 | 0.9284 |
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| 0.7276 | 2.14 | 10000 | 0.9206 |
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| 0.7861 | 2.25 | 10500 | 0.9218 |
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| 0.8205 | 2.35 | 11000 | 0.9181 |
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| 0.7348 | 2.46 | 11500 | 0.9092 |
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| 0.792 | 2.57 | 12000 | 0.9061 |
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| 0.7531 | 2.68 | 12500 | 0.9034 |
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| 0.7652 | 2.78 | 13000 | 0.9013 |
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| 0.7635 | 2.89 | 13500 | 0.8974 |
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| 0.7748 | 3.0 | 14000 | 0.8977 |
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### Framework versions
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- Transformers 4.36.1
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- Pytorch 2.0.1
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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_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": "4.36.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 557912620
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version https://git-lfs.github.com/spec/v1
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oid sha256:39758766bba147f88c20ae6674b2605225b6360e951d64255c10219d9cfdf2da
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size 557912620
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