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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: flant5_offensive_translation_de_en_wmt
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. -->
# flant5_offensive_translation_de_en_wmt
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0011
- Precision: 0.6551
- Recall: 0.5516
- F1: 0.5989
- Total Predictions: 3532
## 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
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Total Predictions |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:-----------------:|
| 0.3687 | 1.0 | 3003 | 0.0012 | 0.5471 | 0.5366 | 0.5418 | 3532 |
| 0.0166 | 2.0 | 6006 | 0.0011 | 0.6454 | 0.4542 | 0.5332 | 3532 |
| 0.0145 | 3.0 | 9009 | 0.0010 | 0.6111 | 0.6065 | 0.6088 | 3532 |
| 0.013 | 4.0 | 12012 | 0.0011 | 0.6904 | 0.4767 | 0.5640 | 3532 |
| 0.0121 | 5.0 | 15015 | 0.0011 | 0.6551 | 0.5516 | 0.5989 | 3532 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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