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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: latterworks/highlightedreport-classifier-test |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: highlightedreport-classifier-test |
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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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# highlightedreport-classifier-test |
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This model is a fine-tuned version of [latterworks/highlightedreport-classifier-test](https://huggingface.co/latterworks/highlightedreport-classifier-test) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Accuracy: 0.92 |
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- Loss: 0.2358 |
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- F1: 0.9184 |
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- Precision: 0.9 |
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- Recall: 0.9375 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|:------:|:---------:|:------:| |
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| No log | 1.25 | 10 | 0.92 | 0.2239 | 0.9184 | 0.9 | 0.9375 | |
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| No log | 2.5 | 20 | 0.92 | 0.2234 | 0.9184 | 0.9 | 0.9375 | |
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| No log | 3.75 | 30 | 0.92 | 0.2287 | 0.9184 | 0.9 | 0.9375 | |
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| No log | 5.0 | 40 | 0.93 | 0.2174 | 0.9278 | 0.9184 | 0.9375 | |
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| No log | 6.25 | 50 | 0.92 | 0.2321 | 0.9184 | 0.9 | 0.9375 | |
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| No log | 7.5 | 60 | 0.93 | 0.2208 | 0.9278 | 0.9184 | 0.9375 | |
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| No log | 8.75 | 70 | 0.92 | 0.2357 | 0.9184 | 0.9 | 0.9375 | |
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| No log | 10.0 | 80 | 0.92 | 0.2358 | 0.9184 | 0.9 | 0.9375 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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