| | --- |
| | base_model: castorini/afriteva_v2_base |
| | library_name: peft |
| | license: apache-2.0 |
| | metrics: |
| | - accuracy |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: cross_amh |
| | 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. --> |
| |
|
| | # cross_amh |
| | |
| | This model is a fine-tuned version of [castorini/afriteva_v2_base](https://huggingface.co/castorini/afriteva_v2_base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7276 |
| | - Model Preparation Time: 0.0061 |
| | - Accuracy: {'accuracy': 0.18509375} |
| | |
| | ## 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: 0.0003 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 15 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | |
| | |:-------------:|:-------:|:-----:|:---------------:|:----------------------:|:-------------------------:| |
| | | 1.4008 | 2.2173 | 5000 | 1.0351 | 0.0061 | {'accuracy': 0.17328125} | |
| | | 1.0872 | 4.4346 | 10000 | 0.8747 | 0.0061 | {'accuracy': 0.17896875} | |
| | | 0.9522 | 6.6519 | 15000 | 0.8086 | 0.0061 | {'accuracy': 0.18146875} | |
| | | 0.8673 | 8.8692 | 20000 | 0.7648 | 0.0061 | {'accuracy': 0.183390625} | |
| | | 0.7922 | 11.0865 | 25000 | 0.7456 | 0.0061 | {'accuracy': 0.184375} | |
| | | 0.7608 | 13.3038 | 30000 | 0.7276 | 0.0061 | {'accuracy': 0.18509375} | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.7.1 |
| | - Transformers 4.43.3 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.19.1 |
