vectorizer/sentiment_analysis_93k_entries

1---2license: apache-2.03tags:4- generated_from_trainer5model-index:6- name: sentiment_analysis_93k_entries7  results: []8---9 10<!-- This model card has been generated automatically according to the information the Trainer had access to. You11should probably proofread and complete it, then remove this comment. -->12 13# sentiment_analysis_93k_entries14 15This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.16 17## Model description18 19More information needed20 21## Intended uses & limitations22 23More information needed24 25## Training and evaluation data26 27More information needed28 29## Training procedure30 31### Training hyperparameters32 33The following hyperparameters were used during training:34- learning_rate: 2e-0535- train_batch_size: 6436- eval_batch_size: 6437- seed: 4238- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0839- lr_scheduler_type: linear40- num_epochs: 741 42### Training results43 44 45 46### Framework versions47 48- Transformers 4.30.149- Pytorch 2.0.050- Datasets 2.1.051- Tokenizers 0.13.352