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--- |
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base_model: Tommert25/robbert2909_lrate7.5 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- recall |
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- accuracy |
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model-index: |
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- name: robbert0210_lrate2.5 |
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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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# robbert0210_lrate2.5 |
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This model is a fine-tuned version of [Tommert25/robbert2909_lrate7.5](https://huggingface.co/Tommert25/robbert2909_lrate7.5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6768 |
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- Precisions: 0.8111 |
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- Recall: 0.7885 |
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- F-measure: 0.7986 |
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- Accuracy: 0.9113 |
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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: 2.5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:| |
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| 0.054 | 1.0 | 942 | 0.6914 | 0.8256 | 0.7674 | 0.7846 | 0.9065 | |
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| 0.0568 | 2.0 | 1884 | 0.7397 | 0.8402 | 0.7902 | 0.8075 | 0.9099 | |
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| 0.0423 | 3.0 | 2826 | 0.6768 | 0.8111 | 0.7885 | 0.7986 | 0.9113 | |
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| 0.0293 | 4.0 | 3768 | 0.7276 | 0.8138 | 0.7879 | 0.7997 | 0.9142 | |
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| 0.0195 | 5.0 | 4710 | 0.7553 | 0.8036 | 0.7902 | 0.7951 | 0.9109 | |
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| 0.0129 | 6.0 | 5652 | 0.7606 | 0.8061 | 0.7962 | 0.7999 | 0.9100 | |
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| 0.0051 | 7.0 | 6594 | 0.7815 | 0.8039 | 0.7993 | 0.7996 | 0.9109 | |
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| 0.0104 | 8.0 | 7536 | 0.7743 | 0.8077 | 0.7986 | 0.8016 | 0.9121 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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