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End of training
Browse files- README.md +68 -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: bert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert-base-cased-tokenCLS-BATTERY
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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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# bert-base-cased-tokenCLS-BATTERY
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0721
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- Precision: 0.7139
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- Recall: 0.8344
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- F1: 0.7694
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- Accuracy: 0.9771
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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: 8
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- eval_batch_size: 8
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 338 | 0.0863 | 0.6986 | 0.7607 | 0.7283 | 0.9722 |
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| 0.1495 | 2.0 | 676 | 0.0692 | 0.6966 | 0.8098 | 0.7489 | 0.9763 |
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| 0.0533 | 3.0 | 1014 | 0.0721 | 0.7139 | 0.8344 | 0.7694 | 0.9771 |
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### Framework versions
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- Transformers 4.33.2
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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 430967977
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f07a2c48f7274c59e2ddf8ec893b9004d171218ce94aa11a7b4bed423c045d7
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size 430967977
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