djsull/binary_classification

1---2metrics:3- precision4- recall5- f16- accuracy7model-index:8- name: binary_classification9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# binary_classification16 17- Loss: 0.015918- Precision: 1.019- Recall: 1.020- F1: 1.021- Accuracy: 1.022 23## Model description24 25More information needed26 27## Intended uses & limitations28 29More information needed30 31## Training and evaluation data32 33More information needed34 35## Training procedure36 37### Training hyperparameters38 39The following hyperparameters were used during training:40- learning_rate: 5e-0541- train_batch_size: 6442- eval_batch_size: 6443- seed: 4244- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0845- lr_scheduler_type: linear46- num_epochs: 847 48### Training results49 50| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |51|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|52| No log        | 1.0   | 9    | 0.0159          | 1.0       | 1.0    | 1.0 | 1.0      |53| No log        | 2.0   | 18   | 0.0030          | 1.0       | 1.0    | 1.0 | 1.0      |54| No log        | 3.0   | 27   | 0.0023          | 1.0       | 1.0    | 1.0 | 1.0      |55| No log        | 4.0   | 36   | 0.0028          | 1.0       | 1.0    | 1.0 | 1.0      |56| No log        | 5.0   | 45   | 0.0018          | 1.0       | 1.0    | 1.0 | 1.0      |57| No log        | 6.0   | 54   | 0.0011          | 1.0       | 1.0    | 1.0 | 1.0      |58| No log        | 7.0   | 63   | 0.0010          | 1.0       | 1.0    | 1.0 | 1.0      |59| No log        | 8.0   | 72   | 0.0010          | 1.0       | 1.0    | 1.0 | 1.0      |60 61 62### Framework versions63 64- Transformers 4.40.265- Pytorch 2.0.166- Datasets 2.19.167- Tokenizers 0.19.1