| | --- |
| | license: apache-2.0 |
| | base_model: bert-base-cased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: sentence_sentiments_analysis_bert |
| | 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. --> |
| |
|
| | # sentence_sentiments_analysis_bert |
| | |
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3359 |
| | - F1-score: 0.9076 |
| | |
| | ## 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: 5e-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: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1-score | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 0.3379 | 1.0 | 2500 | 0.3514 | 0.9024 | |
| | | 0.236 | 2.0 | 5000 | 0.3359 | 0.9076 | |
| | | 0.1406 | 3.0 | 7500 | 0.4492 | 0.9097 | |
| | | 0.0519 | 4.0 | 10000 | 0.5020 | 0.9172 | |
| | | 0.0323 | 5.0 | 12500 | 0.5299 | 0.9198 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.33.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| | |
