metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: function_classifier_t5
results: []
function_classifier_t5
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4739
- Accuracy: 0.7836
- Precision: 0.7913
- Recall: 0.7645
- F1: 0.7777
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 378 | 0.4951 | 0.7839 | 0.7751 | 0.7936 | 0.7843 |
| 0.5293 | 2.0 | 756 | 0.4753 | 0.7876 | 0.8117 | 0.7432 | 0.7760 |
| 0.4898 | 3.0 | 1134 | 0.4739 | 0.7836 | 0.7913 | 0.7645 | 0.7777 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3