metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: flant5_offensive_German_germ_train
results: []
flant5_offensive_German_germ_train
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0011
- Precision: 0.6673
- Recall: 0.5724
- F1: 0.6162
- 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 |
|---|---|---|---|---|---|---|---|
| 0.6583 | 1.0 | 1253 | 0.0014 | 0.0 | 0.0 | 0.0 | 3532 |
| 0.0015 | 2.0 | 2506 | 0.0012 | 0.8333 | 0.0208 | 0.0406 | 3532 |
| 0.0012 | 3.0 | 3759 | 0.0011 | 0.6055 | 0.6589 | 0.6311 | 3532 |
| 0.001 | 4.0 | 5012 | 0.0011 | 0.7519 | 0.4160 | 0.5356 | 3532 |
| 0.0009 | 5.0 | 6265 | 0.0011 | 0.6673 | 0.5724 | 0.6162 | 3532 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2