T5_512tokens_advice / README.md
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---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: T5_512tokens_advice
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_512tokens_advice
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: 1.1196
- Accuracy: 0.8164
- F1: 0.8166
- Precision: 0.8169
- Recall: 0.8164
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6496 | 1.0 | 1590 | 0.4740 | 0.8239 | 0.8210 | 0.8196 | 0.8239 |
| 0.4829 | 2.0 | 3180 | 0.5118 | 0.8283 | 0.8300 | 0.8323 | 0.8283 |
| 0.3773 | 3.0 | 4770 | 0.7478 | 0.8277 | 0.8249 | 0.8236 | 0.8277 |
| 0.0288 | 4.0 | 6360 | 0.9465 | 0.8126 | 0.8100 | 0.8084 | 0.8126 |
| 0.0219 | 5.0 | 7950 | 1.1196 | 0.8164 | 0.8166 | 0.8169 | 0.8164 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0