alexanderfrey/instruction_classifier

1---2license: apache-2.03tags:4- generated_from_trainer5metrics:6- accuracy7model-index:8- name: instruction_classifier9  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# instruction_classifier16 17This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.18It achieves the following results on the evaluation set:19- Loss: 0.008620- Accuracy: 0.998321 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: 12841- eval_batch_size: 12842- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 346 47### Training results48 49| Training Loss | Epoch | Step | Validation Loss | Accuracy |50|:-------------:|:-----:|:----:|:---------------:|:--------:|51| 0.1258        | 1.0   | 815  | 0.0108          | 0.9981   |52| 0.0095        | 2.0   | 1630 | 0.0098          | 0.9979   |53| 0.0078        | 3.0   | 2445 | 0.0086          | 0.9983   |54 55 56### Framework versions57 58- Transformers 4.26.159- Pytorch 2.0.060- Datasets 2.10.161- Tokenizers 0.13.262