metadata

license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
model-index:
  - name: flan-t5-small-query_level_estimator_-0.2
    results: []

flan-t5-small-query_level_estimator_-0.2

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6049
Precision: 0.7179
Recall: 0.9946
F1: 0.8339

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
label_smoothing_factor: 0.15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.6205	1.0	386	0.6120	0.7148	1.0	0.8337
0.6114	2.0	772	0.6070	0.7153	1.0	0.8340
0.604	3.0	1158	0.6049	0.7179	0.9946	0.8339

Framework versions

Transformers 4.43.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1