End of training
Browse files- README.md +68 -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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- f1
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model-index:
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- name: KUCI_Bert_Base_Finetuned
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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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# KUCI_Bert_Base_Finetuned
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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: 1.2038
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- F1: 0.5172
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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: 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: 9
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 1.1987 | 1.0 | 5196 | 1.1956 | 0.4711 |
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| 1.1506 | 2.0 | 10392 | 1.1539 | 0.4989 |
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| 1.0993 | 3.0 | 15588 | 1.1260 | 0.5131 |
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| 1.0511 | 4.0 | 20784 | 1.1206 | 0.5172 |
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| 1.0058 | 5.0 | 25980 | 1.1180 | 0.5269 |
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| 0.9605 | 6.0 | 31176 | 1.1835 | 0.5264 |
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| 0.9067 | 7.0 | 36372 | 1.1929 | 0.5235 |
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| 0.8862 | 8.0 | 41568 | 1.2050 | 0.5198 |
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| 0.8667 | 9.0 | 46764 | 1.2038 | 0.5172 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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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-
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size 437955572
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version https://git-lfs.github.com/spec/v1
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size 437955572
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