muellerzr/sequence_classification

1---2license: apache-2.03base_model: distilbert-base-uncased4tags:5- generated_from_trainer6datasets:7- imdb8model-index:9- name: sequence_classification10  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# sequence_classification17 18This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.19 20## Model description21 22More information needed23 24## Intended uses & limitations25 26More information needed27 28## Training and evaluation data29 30More information needed31 32## Training procedure33 34### Training hyperparameters35 36The following hyperparameters were used during training:37- learning_rate: 2e-0538- train_batch_size: 6439- eval_batch_size: 1640- seed: 4241- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0842- lr_scheduler_type: linear43- training_steps: 544 45### Training results46 47 48 49### Framework versions50 51- Transformers 4.35.0.dev052- Pytorch 2.0.1+cu11753- Datasets 2.14.554- Tokenizers 0.14.155