kernelpult/bert_test_3

1---2license: apache-2.03tags:4- generated_from_trainer5metrics:6- f17model-index:8- name: bert_test_39  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# bert_test_316 17This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 0.550020- F1: 0.820121 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: 5e-0540- train_batch_size: 1641- eval_batch_size: 842- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 146 47### Training results48 49| Training Loss | Epoch | Step | Validation Loss | F1     |50|:-------------:|:-----:|:----:|:---------------:|:------:|51| 1.0387        | 1.0   | 341  | 0.5500          | 0.8201 |52 53 54### Framework versions55 56- Transformers 4.27.157- Pytorch 2.3.1+cu12158- Datasets 2.20.059- Tokenizers 0.13.360