metadata
license: apache-2.0
base_model: yhavinga/t5-small-24L-ccmatrix-multi
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: final_classification
results: []
final_classification
This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0945
- F1: {'f1': 0.9405940594059407}
- Precision: {'precision': 0.9134615384615384}
- Recall: {'recall': 0.9693877551020408}
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| No log | 1.0 | 110 | 0.2338 | {'f1': 0.6845637583892618} | {'precision': 1.0} | {'recall': 0.5204081632653061} |
| No log | 2.0 | 220 | 0.0828 | {'f1': 0.9387755102040817} | {'precision': 0.9387755102040817} | {'recall': 0.9387755102040817} |
| No log | 3.0 | 330 | 0.0891 | {'f1': 0.9359605911330049} | {'precision': 0.9047619047619048} | {'recall': 0.9693877551020408} |
| No log | 4.0 | 440 | 0.0744 | {'f1': 0.95} | {'precision': 0.9313725490196079} | {'recall': 0.9693877551020408} |
| 0.1529 | 5.0 | 550 | 0.1012 | {'f1': 0.9405940594059407} | {'precision': 0.9134615384615384} | {'recall': 0.9693877551020408} |
| 0.1529 | 6.0 | 660 | 0.0945 | {'f1': 0.9405940594059407} | {'precision': 0.9134615384615384} | {'recall': 0.9693877551020408} |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1