Model save
Browse files- README.md +69 -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: relation_extraction_bert_base_uncased
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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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# relation_extraction_bert_base_uncased
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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: 0.9421
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- F1: 0.8613
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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: 5e-05
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- train_batch_size: 64
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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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- num_epochs: 10.0
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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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| 1.2511 | 1.0 | 107 | 0.6098 | 0.7907 |
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| 0.437 | 2.0 | 214 | 0.5167 | 0.8453 |
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| 0.1921 | 3.0 | 321 | 0.5446 | 0.8553 |
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| 0.0795 | 4.0 | 428 | 0.7041 | 0.8527 |
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| 0.0334 | 5.0 | 535 | 0.7774 | 0.8568 |
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| 0.0124 | 6.0 | 642 | 0.8086 | 0.8490 |
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| 0.0056 | 7.0 | 749 | 0.8615 | 0.8601 |
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| 0.003 | 8.0 | 856 | 0.9246 | 0.8614 |
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| 0.0014 | 9.0 | 963 | 0.9300 | 0.8616 |
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| 0.0011 | 10.0 | 1070 | 0.9421 | 0.8613 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 435731500
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab1ed1193a2509af0f86a3cdc019cdcbf049b00da645b779409e7897c3dffe2e
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size 435731500
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