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# checkpoints

This model was trained from scratch on the xfun dataset.
It achieves the following results on the evaluation set:
- Precision: 0.4573
- Recall: 0.6026
- F1: 0.5200
- Loss: 0.2050

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4000

### Training results

| Training Loss | Epoch  | Step | F1     | Validation Loss | Precision | Recall |
|:-------------:|:------:|:----:|:------:|:---------------:|:---------:|:------:|
| 0.0321        | 83.33  | 500  | 0.5200 | 0.2050          | 0.4573    | 0.6026 |
| 0.0184        | 166.67 | 1000 | 0.5282 | 0.3680          | 0.4785    | 0.5894 |
| 0.0083        | 250.0  | 1500 | 0.5291 | 0.4670          | 0.4715    | 0.6026 |
| 0.0087        | 333.33 | 2000 | 0.5408 | 0.5265          | 0.4706    | 0.6358 |
| 0.0013        | 416.67 | 2500 | 0.5193 | 0.5898          | 0.4455    | 0.6225 |
| 0.0007        | 500.0  | 3000 | 0.4663 | 0.5960          | 0.5233    | 0.6323 |
| 0.0004        | 583.33 | 3500 | 0.4478 | 0.5960          | 0.5114    | 0.6443 |
| 0.003         | 666.67 | 4000 | 0.4643 | 0.6026          | 0.5245    | 0.6197 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "datasets": ["xfun"], "metrics": ["precision", "recall", "f1"], "model-index": [{"name": "checkpoints", "results": []}]}
transformers safetensors lilt generated_from_trainer dataset:xfun endpoints_compatible region:us