Commit
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Model save
Browse files- README.md +71 -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: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-qa
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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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# distilbert-base-uncased-qa
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4871
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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: 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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- num_epochs: 15
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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 | 66 | 3.2096 |
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| No log | 2.0 | 132 | 2.8592 |
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| No log | 3.0 | 198 | 2.8928 |
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| No log | 4.0 | 264 | 2.6908 |
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| No log | 5.0 | 330 | 2.5923 |
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| No log | 6.0 | 396 | 2.7418 |
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| No log | 7.0 | 462 | 2.9204 |
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| 2.1971 | 8.0 | 528 | 3.0142 |
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| 2.1971 | 9.0 | 594 | 3.1064 |
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| 2.1971 | 10.0 | 660 | 3.2017 |
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| 2.1971 | 11.0 | 726 | 3.4628 |
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| 2.1971 | 12.0 | 792 | 3.3789 |
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| 2.1971 | 13.0 | 858 | 3.3585 |
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| 2.1971 | 14.0 | 924 | 3.4515 |
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| 2.1971 | 15.0 | 990 | 3.4871 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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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 265492517
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version https://git-lfs.github.com/spec/v1
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oid sha256:efd4a427fab792e235c0b3c1cacfabc6c66abd8fdfd16845f121bdc9b31aae80
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size 265492517
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