jclondonol/Sequence_Classification_Models

1---2library_name: transformers3license: apache-2.04base_model: distilbert/distilbert-base-uncased5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: Sequence_Classification_Models11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# Sequence_Classification_Models18 19This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.20It achieves the following results on the evaluation set:21- Loss: 0.958122- Accuracy: 0.795623 24## Model description25 26More information needed27 28## Intended uses & limitations29 30More information needed31 32## Training and evaluation data33 34More information needed35 36## Training procedure37 38### Training hyperparameters39 40The following hyperparameters were used during training:41- learning_rate: 5e-0542- train_batch_size: 843- eval_batch_size: 844- seed: 4245- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments46- lr_scheduler_type: linear47- num_epochs: 548 49### Training results50 51| Training Loss | Epoch | Step  | Validation Loss | Accuracy |52|:-------------:|:-----:|:-----:|:---------------:|:--------:|53| 0.6886        | 1.0   | 3549  | 0.7169          | 0.778    |54| 0.5509        | 2.0   | 7098  | 0.6691          | 0.7968   |55| 0.4204        | 3.0   | 10647 | 0.7379          | 0.802    |56| 0.3278        | 4.0   | 14196 | 0.8435          | 0.8016   |57| 0.2468        | 5.0   | 17745 | 0.9581          | 0.7956   |58 59 60### Framework versions61 62- Transformers 5.8.163- Pytorch 2.12.0+cu13064- Datasets 4.8.565- Tokenizers 0.22.266