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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wnut_17 |
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model-index: |
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- name: my_awesome_wnut_model |
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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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# my_awesome_wnut_model |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the wnut_17 dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.2751 |
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- eval_precision: 0.5915 |
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- eval_recall: 0.2456 |
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- eval_f1: 0.3471 |
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- eval_accuracy: 0.9388 |
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- eval_runtime: 3.0704 |
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- eval_samples_per_second: 419.16 |
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- eval_steps_per_second: 26.381 |
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- epoch: 1.0 |
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- step: 213 |
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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: 2e-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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- distributed_type: multi-GPU |
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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: 2 |
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### Framework versions |
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- Transformers 4.36.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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