---
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_gossip
  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_gossip

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: 0.5710
- Accuracy: 0.9107
- F1: 0.9076
- Precision: 0.9052
- Recall: 0.9107

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.2949        | 1.0   | 1590 | 0.2890          | 0.9057   | 0.8939 | 0.8888    | 0.9057 |
| 0.065         | 2.0   | 3180 | 0.2869          | 0.9239   | 0.9066 | 0.9165    | 0.9239 |
| 0.0989        | 3.0   | 4770 | 0.3924          | 0.9157   | 0.9100 | 0.9068    | 0.9157 |
| 0.0073        | 4.0   | 6360 | 0.5086          | 0.9145   | 0.9076 | 0.9042    | 0.9145 |
| 0.0155        | 5.0   | 7950 | 0.5710          | 0.9107   | 0.9076 | 0.9052    | 0.9107 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0