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--- |
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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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model-index: |
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- name: AV_MAE_DF1M_noCEnoCL_new |
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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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# AV_MAE_DF1M_noCEnoCL_new |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2893 |
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- Accuracy: 0.9352 |
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- F1: 0.9348 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- training_steps: 14120 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| 0.4187 | 0.32 | 4517 | 0.3861 | 0.9068 | 0.9061 | |
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| 0.2655 | 1.32 | 9033 | 0.3171 | 0.9255 | 0.9253 | |
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| 0.7603 | 2.32 | 13549 | 0.2914 | 0.9355 | 0.9351 | |
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| 0.3845 | 3.04 | 14120 | 0.2893 | 0.9352 | 0.9348 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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