phdatdt/binary_classification

1---2license: apache-2.03library_name: peft4tags:5- generated_from_trainer6metrics:7- accuracy8base_model: mistralai/Mistral-7B-v0.19model-index:10- name: binary_classification11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# binary_classification18 19This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.20It achieves the following results on the evaluation set:21- Loss: 1.325122- Accuracy: 0.523 24## Model description25 26More information needed27 28## Intended uses & limitations29 30More information needed31 32## Training and evaluation data33 34More information needed35 36## Training procedure37 38### Training hyperparameters39 40The following hyperparameters were used during training:41- learning_rate: 0.000142- train_batch_size: 843- eval_batch_size: 844- seed: 4245- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0846- lr_scheduler_type: linear47- num_epochs: 1048 49### Training results50 51| Training Loss | Epoch | Step | Validation Loss | Accuracy |52|:-------------:|:-----:|:----:|:---------------:|:--------:|53| No log        | 1.0   | 12   | 0.6405          | 0.8      |54| No log        | 2.0   | 24   | 1.2785          | 0.5      |55| No log        | 3.0   | 36   | 0.7415          | 0.7      |56| No log        | 4.0   | 48   | 0.9357          | 0.5      |57| No log        | 5.0   | 60   | 1.2000          | 0.6      |58| No log        | 6.0   | 72   | 1.4307          | 0.6      |59| No log        | 7.0   | 84   | 1.3643          | 0.5      |60| No log        | 8.0   | 96   | 1.2574          | 0.5      |61| No log        | 9.0   | 108  | 1.5340          | 0.5      |62| No log        | 10.0  | 120  | 1.3251          | 0.5      |63 64 65### Framework versions66 67- PEFT 0.9.068- Transformers 4.38.269- Pytorch 2.1.270- Datasets 2.16.071- Tokenizers 0.15.1