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library_name: transformers
license: apache-2.0
base_model: T5-base
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: T5-JSON-OM-IMP
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-JSON-OM-IMP
This model is a fine-tuned version of [T5-base](https://huggingface.co/T5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0946
- Micro Precision: 0.3295
- Micro Recall: 0.3853
- Micro F1: 0.3552
- Macro Precision: 0.3295
- Macro Recall: 0.3853
- Macro F1: 0.3552
- Bleu: 77.6645
- Rouge1: 0.7910
- Rouge2: 0.5470
## 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: Use OptimizerNames.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: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:-------:|:------:|:------:|
| 0.1167 | 1.0 | 468 | 0.0975 | 0.2817 | 0.4680 | 0.3517 | 0.2817 | 0.4680 | 0.3517 | 75.2453 | 0.7657 | 0.5238 |
| 0.1103 | 2.0 | 936 | 0.0953 | 0.2956 | 0.4421 | 0.3543 | 0.2956 | 0.4421 | 0.3543 | 75.8760 | 0.7700 | 0.5180 |
| 0.1022 | 3.0 | 1404 | 0.0941 | 0.2897 | 0.4452 | 0.3510 | 0.2897 | 0.4452 | 0.3510 | 75.7205 | 0.7651 | 0.5213 |
| 0.1072 | 4.0 | 1872 | 0.0946 | 0.3295 | 0.3853 | 0.3552 | 0.3295 | 0.3853 | 0.3552 | 77.6645 | 0.7910 | 0.5470 |
### Framework versions
- Transformers 4.51.1
- Pytorch 2.8.0.dev20250409+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
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