---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- resumes_t2json_large
metrics:
- rouge
model-index:
- name: t5-base-finetuned-resumes_t2json_large
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: resumes_t2json_large
      type: resumes_t2json_large
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 4.3177
---

<!-- 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-base-finetuned-resumes_t2json_large

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the resumes_t2json_large dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 4.3177
- Rouge2: 1.1704
- Rougel: 3.5786
- Rougelsum: 3.7496
- Gen Len: 18.4438

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 10280  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 2.0   | 20560  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 3.0   | 30840  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 4.0   | 41120  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 5.0   | 51400  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 6.0   | 61680  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 7.0   | 71960  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 8.0   | 82240  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 9.0   | 92520  | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |
| 0.0           | 10.0  | 102800 | nan             | 4.3177 | 1.1704 | 3.5786 | 3.7496    | 18.4438 |


### Framework versions

- Transformers 4.20.1
- Pytorch 2.0.0+cu117
- Datasets 2.9.0
- Tokenizers 0.12.1