Training complete
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README.md
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---
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library_name: transformers
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base_model: allenai/biomed_roberta_base
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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: BioMedRoBERTa-finetuned-valid-testing
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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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# BioMedRoBERTa-finetuned-valid-testing
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This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0920
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- Precision: 0.8179
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- Recall: 0.8236
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- F1: 0.8207
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- Accuracy: 0.9760
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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: 0.0002
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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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 | 417 | 0.1029 | 0.7906 | 0.7974 | 0.7940 | 0.9711 |
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| 0.256 | 2.0 | 834 | 0.0807 | 0.8322 | 0.8077 | 0.8198 | 0.9772 |
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| 0.0658 | 3.0 | 1251 | 0.0862 | 0.7913 | 0.8086 | 0.7999 | 0.9712 |
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| 0.0448 | 4.0 | 1668 | 0.0871 | 0.8132 | 0.8151 | 0.8142 | 0.9768 |
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| 0.0288 | 5.0 | 2085 | 0.0920 | 0.8179 | 0.8236 | 0.8207 | 0.9760 |
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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 2.21.0
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- Tokenizers 0.19.1
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runs/Sep04_22-15-10_d7fd2e8d9a3c/events.out.tfevents.1725488111.d7fd2e8d9a3c.3166.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6113a5d8c8758589e308b36c33235b9daace8983b6c65588ea29210d31d65e63
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size 9289
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