---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: t5_cause_classifier
  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_cause_classifier

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2104
- F1: 0.8112
- Accuracy: 0.3196

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 124  | 0.3976          | 0.5740 | 0.0      |
| No log        | 2.0   | 248  | 0.2948          | 0.7116 | 0.0907   |
| No log        | 3.0   | 372  | 0.2657          | 0.7396 | 0.1200   |
| No log        | 4.0   | 496  | 0.2514          | 0.7599 | 0.1724   |
| 0.3526        | 5.0   | 620  | 0.2406          | 0.7706 | 0.2006   |
| 0.3526        | 6.0   | 744  | 0.2318          | 0.7809 | 0.2147   |
| 0.3526        | 7.0   | 868  | 0.2267          | 0.7910 | 0.2591   |
| 0.3526        | 8.0   | 992  | 0.2227          | 0.7949 | 0.2742   |
| 0.2263        | 9.0   | 1116 | 0.2178          | 0.7993 | 0.2772   |
| 0.2263        | 10.0  | 1240 | 0.2161          | 0.8028 | 0.2923   |
| 0.2263        | 11.0  | 1364 | 0.2158          | 0.8024 | 0.2873   |
| 0.2263        | 12.0  | 1488 | 0.2144          | 0.8033 | 0.2984   |
| 0.2005        | 13.0  | 1612 | 0.2125          | 0.8074 | 0.3054   |
| 0.2005        | 14.0  | 1736 | 0.2118          | 0.8076 | 0.3206   |
| 0.2005        | 15.0  | 1860 | 0.2120          | 0.8093 | 0.3095   |
| 0.2005        | 16.0  | 1984 | 0.2122          | 0.8088 | 0.3196   |
| 0.1877        | 17.0  | 2108 | 0.2109          | 0.8096 | 0.3155   |
| 0.1877        | 18.0  | 2232 | 0.2106          | 0.8103 | 0.3135   |
| 0.1877        | 19.0  | 2356 | 0.2109          | 0.8099 | 0.3155   |
| 0.1877        | 20.0  | 2480 | 0.2104          | 0.8112 | 0.3196   |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1