| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: sent_analysis_bert_simple |
| 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. --> |
|
|
| # sent_analysis_bert_simple |
| |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5657 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - 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 | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.6565 | 1.0 | 3125 | 0.6467 | |
| | 0.6365 | 2.0 | 6250 | 0.6191 | |
| | 0.6134 | 3.0 | 9375 | 0.6110 | |
| | 0.6034 | 4.0 | 12500 | 0.5904 | |
| | 0.5905 | 5.0 | 15625 | 0.5806 | |
| | 0.5942 | 6.0 | 18750 | 0.5751 | |
| | 0.5803 | 7.0 | 21875 | 0.5722 | |
| | 0.5726 | 8.0 | 25000 | 0.5676 | |
| | 0.5745 | 9.0 | 28125 | 0.5654 | |
| | 0.5746 | 10.0 | 31250 | 0.5657 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.43.3 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
