metadata
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: flan-t5-large-window__test-text-classification
results: []
flan-t5-large-window__test-text-classification
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7005
- Precision: 0.8967
- Recall: 0.88
- F1: 0.8883
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: 0.0003
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.4862 | 1.0 | 196 | 0.3938 | 0.8361 | 0.9253 | 0.8785 |
| 0.2321 | 2.0 | 392 | 0.4750 | 0.8640 | 0.9147 | 0.8886 |
| 0.1052 | 3.0 | 588 | 0.7005 | 0.8967 | 0.88 | 0.8883 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2