artem2284708/basketball-mod

1---2library_name: transformers3license: apache-2.04base_model: artem2284708/my_awesome_model5tags:6- generated_from_trainer7metrics:8- accuracy9- f110- precision11- recall12model-index:13- name: basketball-mod14  results: []15---16 17<!-- This model card has been generated automatically according to the information the Trainer had access to. You18should probably proofread and complete it, then remove this comment. -->19 20# basketball-mod21 22This model is a fine-tuned version of [artem2284708/my_awesome_model](https://huggingface.co/artem2284708/my_awesome_model) on the None dataset.23It achieves the following results on the evaluation set:24- Loss: 0.971825- Accuracy: 0.426- F1: 0.290827- Precision: 0.328128- Recall: 0.429 30## Model description31 32More information needed33 34## Intended uses & limitations35 36More information needed37 38## Training and evaluation data39 40More information needed41 42## Training procedure43 44### Training hyperparameters45 46The following hyperparameters were used during training:47- learning_rate: 1e-0748- train_batch_size: 849- eval_batch_size: 850- seed: 4251- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments52- lr_scheduler_type: linear53- num_epochs: 354 55### Training results56 57| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |58|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|59| 0.9669        | 1.0   | 9    | 0.9672          | 0.5      | 0.3906 | 0.3238    | 0.5    |60| 0.9624        | 2.0   | 18   | 0.9664          | 0.5      | 0.3906 | 0.3238    | 0.5    |61| 0.952         | 3.0   | 27   | 0.9660          | 0.5      | 0.3906 | 0.3238    | 0.5    |62 63 64### Framework versions65 66- Transformers 4.51.367- Pytorch 2.6.0+cu12468- Datasets 2.14.469- Tokenizers 0.21.170