metadata
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
- accuracy
model-index:
- name: output
results: []
output
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1644
- F1: 0.4231
- Precision: 0.4615
- Recall: 0.5385
- Accuracy: 0.5385
- Mcc: 0.3143
- Auc: 0.3242
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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy | Mcc | Auc |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 12 | 1.1644 | 0.4231 | 0.4615 | 0.5385 | 0.5385 | 0.3143 | 0.3242 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1