vishalk4u/liar_binaryclassifier_distilbert_cased

1---2license: apache-2.03base_model: distilbert-base-cased4tags:5- generated_from_trainer6metrics:7- accuracy8model-index:9- name: liar_binaryclassifier_distilbert_cased10  results: []11---12 13<!-- This model card has been generated automatically according to the information the Trainer had access to. You14should probably proofread and complete it, then remove this comment. -->15 16# liar_binaryclassifier_distilbert_cased17 18This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.19It achieves the following results on the evaluation set:20- Loss: 0.638121- Accuracy: 0.642122 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: 3e-0641- train_batch_size: 842- eval_batch_size: 843- seed: 4244- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0845- lr_scheduler_type: linear46- num_epochs: 547 48### Training results49 50| Training Loss | Epoch | Step | Validation Loss | Accuracy |51|:-------------:|:-----:|:----:|:---------------:|:--------:|52| 0.683         | 1.0   | 461  | 0.6589          | 0.6030   |53| 0.6441        | 2.0   | 922  | 0.6351          | 0.6356   |54| 0.6179        | 3.0   | 1383 | 0.6339          | 0.6291   |55| 0.6011        | 4.0   | 1844 | 0.6351          | 0.6399   |56| 0.5897        | 5.0   | 2305 | 0.6381          | 0.6421   |57 58 59### Framework versions60 61- Transformers 4.40.062- Pytorch 2.2.1+cu12163- Datasets 2.19.064- Tokenizers 0.19.165