End of training
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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: '584_32_1'
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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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# 584_32_1
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3309
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- Accuracy: 0.7104
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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: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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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: 500
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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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| No log | 1.0 | 121 | 1.4221 | 0.25 |
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| No log | 2.0 | 242 | 1.3270 | 0.4208 |
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| No log | 3.0 | 363 | 0.9673 | 0.6125 |
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| No log | 4.0 | 484 | 0.8277 | 0.6687 |
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| 1.2322 | 5.0 | 605 | 0.7791 | 0.6979 |
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| 1.2322 | 6.0 | 726 | 0.8398 | 0.6896 |
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| 1.2322 | 7.0 | 847 | 0.7810 | 0.7 |
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| 1.2322 | 8.0 | 968 | 0.8186 | 0.7125 |
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| 0.5026 | 9.0 | 1089 | 0.9361 | 0.7104 |
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| 0.5026 | 10.0 | 1210 | 0.9895 | 0.7104 |
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| 0.5026 | 11.0 | 1331 | 1.0266 | 0.6958 |
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| 0.5026 | 12.0 | 1452 | 1.1067 | 0.7146 |
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| 0.1724 | 13.0 | 1573 | 1.0984 | 0.7104 |
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| 0.1724 | 14.0 | 1694 | 1.1876 | 0.7063 |
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| 0.1724 | 15.0 | 1815 | 1.2408 | 0.7021 |
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| 0.1724 | 16.0 | 1936 | 1.2624 | 0.6979 |
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| 0.074 | 17.0 | 2057 | 1.2954 | 0.7104 |
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| 0.074 | 18.0 | 2178 | 1.2911 | 0.7104 |
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| 0.074 | 19.0 | 2299 | 1.3218 | 0.7104 |
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| 0.074 | 20.0 | 2420 | 1.3309 | 0.7104 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 437964800
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