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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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datasets: |
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- adalbertojunior/entities |
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model-index: |
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- name: test_v4 |
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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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# test_v4 |
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This model is a fine-tuned version of [./models/entities/test_v4](https://huggingface.co/./models/entities/test_v4) on the adalbertojunior/entities dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.1648 |
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- eval_model_preparation_time: 0.0009 |
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- eval_precision: 0.8411 |
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- eval_recall: 0.8900 |
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- eval_f1: 0.8649 |
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- eval_accuracy: 0.9744 |
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- eval_runtime: 177.3832 |
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- eval_samples_per_second: 27.962 |
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- eval_steps_per_second: 27.962 |
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- step: 0 |
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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: 8 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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_steps: 500 |
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- num_epochs: 20.0 |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.21.0 |
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