--- license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-topic-model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # distilbert-base-uncased-finetuned-topic-model This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.2697 - Accuracy: 0.6030 - F1: 0.5963 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 2.7083 | 1.0 | 97 | 2.3146 | 0.4470 | 0.3978 | | 1.9763 | 2.0 | 194 | 1.7865 | 0.5136 | 0.4576 | | 1.5486 | 3.0 | 291 | 1.5441 | 0.5561 | 0.5263 | | 1.2422 | 4.0 | 388 | 1.4228 | 0.5659 | 0.5410 | | 1.0498 | 5.0 | 485 | 1.3569 | 0.5780 | 0.5600 | | 0.9017 | 6.0 | 582 | 1.3051 | 0.6023 | 0.5909 | | 0.8082 | 7.0 | 679 | 1.2839 | 0.6053 | 0.5973 | | 0.7148 | 8.0 | 776 | 1.2836 | 0.5955 | 0.5890 | | 0.6598 | 9.0 | 873 | 1.2702 | 0.6045 | 0.5961 | | 0.6222 | 10.0 | 970 | 1.2697 | 0.6030 | 0.5963 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3