ProceduralTree/final-model

1---2license: apache-2.03tags:4- generated_from_trainer5metrics:6- accuracy7model-index:8- name: final-model9  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# final-model16 17This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.18It achieves the following results on the evaluation set:19- Loss: 0.925720- Accuracy: 0.602121 22## Model description23 24More information needed25 26## Intended uses & limitations27 28More information needed29 30## Training and evaluation data31 32More information needed33 34## Training procedure35 36### Training hyperparameters37 38The following hyperparameters were used during training:39- learning_rate: 2e-0540- train_batch_size: 441- eval_batch_size: 442- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 246 47### Training results48 49| Training Loss | Epoch | Step | Validation Loss | Accuracy |50|:-------------:|:-----:|:----:|:---------------:|:--------:|51| 0.8464        | 1.0   | 4224 | 0.8643          | 0.6      |52| 0.7506        | 2.0   | 8448 | 0.9257          | 0.6021   |53 54 55### Framework versions56 57- Transformers 4.25.158- Pytorch 1.13.1+cu11659- Datasets 2.8.060- Tokenizers 0.13.261