---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: job_parser
  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. -->

# job_parser

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: 0.1333
- Rouge1: 3.0012
- Rouge2: 2.273
- Rougel: 3.0026
- Rougelsum: 3.0045
- Gen Len: 20.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 50   | 0.2017          | 3.0012 | 2.273  | 3.0026 | 3.0045    | 20.0    |
| No log        | 2.0   | 100  | 0.1554          | 3.0012 | 2.273  | 3.0026 | 3.0045    | 20.0    |
| No log        | 3.0   | 150  | 0.1418          | 3.0012 | 2.273  | 3.0026 | 3.0045    | 20.0    |
| No log        | 4.0   | 200  | 0.1359          | 3.0012 | 2.273  | 3.0026 | 3.0045    | 20.0    |
| No log        | 5.0   | 250  | 0.1333          | 3.0012 | 2.273  | 3.0026 | 3.0045    | 20.0    |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.20.0
- Tokenizers 0.21.0