metadata
base_model: Bhavesh1609/Method-1-model
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Method-1-model-3
results: []
Method-1-model-3
This model is a fine-tuned version of Bhavesh1609/Method-1-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0068
- Precision: 0.9706
- Recall: 1.0
- F1: 0.9851
- Accuracy: 0.9985
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: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 254 | 0.0035 | 0.9706 | 1.0 | 0.9851 | 0.9986 |
| 0.0009 | 2.0 | 508 | 0.0062 | 0.9706 | 1.0 | 0.9851 | 0.9985 |
| 0.0009 | 3.0 | 762 | 0.0068 | 0.9706 | 1.0 | 0.9851 | 0.9985 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1