metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: jackmedda/google-t5-t5-base_finetuned_augmented_augmented_llama3.2_3b
results: []
jackmedda/google-t5-t5-base_finetuned_augmented_augmented_llama3.2_3b
This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5986
- Accuracy: 0.7647
- F1: 0.8667
- Precision: 0.7647
- Recall: 1.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 9 | 0.7317 | 0.6 | 0.6 | 1.0 | 0.4286 |
| 1.051 | 2.0 | 18 | 0.6367 | 0.6 | 0.75 | 0.6667 | 0.8571 |
| 0.5778 | 3.0 | 27 | 0.7053 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3991 | 4.0 | 36 | 0.7872 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3132 | 5.0 | 45 | 0.8391 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3989 | 6.0 | 54 | 0.8098 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3677 | 7.0 | 63 | 0.7825 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2763 | 8.0 | 72 | 0.7921 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.368 | 9.0 | 81 | 0.7830 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3122 | 10.0 | 90 | 0.7808 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3122 | 11.0 | 99 | 0.8076 | 0.7 | 0.8235 | 0.7 | 1.0 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0