End of training
Browse files- README.md +85 -0
- generation_config.json +13 -0
- pytorch_model.bin +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-abs-noise-03
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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-abs-noise-03
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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: 0.4432
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.7656 | 0.11 | 500 | 0.6197 |
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| 0.648 | 0.21 | 1000 | 0.5950 |
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| 0.6307 | 0.32 | 1500 | 0.5712 |
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| 0.6847 | 0.43 | 2000 | 0.5361 |
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| 0.5841 | 0.54 | 2500 | 0.5333 |
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| 0.5418 | 0.64 | 3000 | 0.5195 |
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| 0.5303 | 0.75 | 3500 | 0.5068 |
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| 0.5555 | 0.86 | 4000 | 0.4948 |
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| 0.5109 | 0.96 | 4500 | 0.4851 |
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| 0.4823 | 1.07 | 5000 | 0.4866 |
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| 0.491 | 1.18 | 5500 | 0.4793 |
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| 0.441 | 1.28 | 6000 | 0.4825 |
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| 0.4939 | 1.39 | 6500 | 0.4730 |
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| 0.4425 | 1.5 | 7000 | 0.4715 |
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| 0.4942 | 1.61 | 7500 | 0.4676 |
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| 0.4256 | 1.71 | 8000 | 0.4593 |
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| 0.5072 | 1.82 | 8500 | 0.4587 |
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| 0.4215 | 1.93 | 9000 | 0.4561 |
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| 0.3497 | 2.03 | 9500 | 0.4589 |
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| 0.3899 | 2.14 | 10000 | 0.4575 |
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| 0.3759 | 2.25 | 10500 | 0.4545 |
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| 0.3637 | 2.35 | 11000 | 0.4535 |
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| 0.3997 | 2.46 | 11500 | 0.4456 |
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| 0.3496 | 2.57 | 12000 | 0.4466 |
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| 0.3409 | 2.68 | 12500 | 0.4460 |
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| 0.3575 | 2.78 | 13000 | 0.4440 |
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| 0.3925 | 2.89 | 13500 | 0.4427 |
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| 0.3228 | 3.0 | 14000 | 0.4432 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0
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- Datasets 2.14.7
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- Tokenizers 0.14.1
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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": "4.34.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 557971674
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd8bceded8a3ca02d4e44db3177c26344b929e8f5ecfc96ddc10d4550cc263d0
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size 557971674
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