End of training
Browse files- README.md +80 -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: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: finetuned-bert-base-uncased-on-HOPE
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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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# finetuned-bert-base-uncased-on-HOPE
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3515
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- Accuracy: 0.5345
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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: 32
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- eval_batch_size: 32
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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_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.7368 | 1.0 | 289 | 1.6685 | 0.4526 |
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| 1.3051 | 2.0 | 578 | 1.4303 | 0.5176 |
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| 1.0563 | 3.0 | 867 | 1.3849 | 0.5438 |
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| 1.1101 | 4.0 | 1156 | 1.4233 | 0.5185 |
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| 0.9118 | 5.0 | 1445 | 1.5438 | 0.5023 |
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| 0.7889 | 6.0 | 1734 | 1.6832 | 0.5014 |
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| 0.4892 | 7.0 | 2023 | 1.8469 | 0.4824 |
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| 0.3739 | 8.0 | 2312 | 2.0680 | 0.4734 |
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| 0.3813 | 9.0 | 2601 | 2.1392 | 0.4706 |
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| 0.3459 | 10.0 | 2890 | 2.2772 | 0.4761 |
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| 0.2323 | 11.0 | 3179 | 2.3445 | 0.4688 |
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| 0.1977 | 12.0 | 3468 | 2.4754 | 0.4761 |
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| 0.2351 | 13.0 | 3757 | 2.5912 | 0.4661 |
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| 0.1991 | 14.0 | 4046 | 2.6713 | 0.4743 |
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| 0.2239 | 15.0 | 4335 | 2.7262 | 0.4706 |
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| 0.155 | 16.0 | 4624 | 2.7958 | 0.4697 |
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| 0.1675 | 17.0 | 4913 | 2.8367 | 0.4724 |
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| 0.1471 | 18.0 | 5202 | 2.8619 | 0.4715 |
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| 0.1973 | 19.0 | 5491 | 2.8744 | 0.4770 |
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| 0.1902 | 20.0 | 5780 | 2.8865 | 0.4752 |
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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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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 437989408
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version https://git-lfs.github.com/spec/v1
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oid sha256:73742df967f45eedf3c2eacdb9c79bd86b6b9d4c5fe515253723a3fec8c18174
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size 437989408
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