---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_recommendation_jobs3
  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_recommendation_jobs3

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7154
- Rouge1: 53.3020
- Rouge2: 31.8649
- Rougel: 52.6180
- Rougelsum: 52.6507
- Gen Len: 4.2934

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 0.99  | 93   | 0.7607          | 47.7139 | 25.7252 | 47.3810 | 47.4008   | 3.9914  |
| No log        | 1.99  | 187  | 0.7516          | 49.1554 | 27.2693 | 48.5465 | 48.5321   | 4.2381  |
| No log        | 3.0   | 281  | 0.7454          | 49.6795 | 27.8710 | 49.2537 | 49.2633   | 4.1665  |
| No log        | 4.0   | 375  | 0.7407          | 49.8898 | 27.7613 | 49.4210 | 49.4315   | 4.1331  |
| No log        | 4.99  | 468  | 0.7360          | 51.3330 | 29.6585 | 50.9846 | 51.0159   | 4.0724  |
| 0.6327        | 5.99  | 562  | 0.7222          | 50.9951 | 29.7573 | 50.6261 | 50.6555   | 4.1354  |
| 0.6327        | 7.0   | 656  | 0.7175          | 51.8101 | 30.5342 | 51.3743 | 51.3883   | 4.0903  |
| 0.6327        | 8.0   | 750  | 0.7122          | 51.9497 | 30.8316 | 51.4403 | 51.4551   | 4.2553  |
| 0.6327        | 8.99  | 843  | 0.7144          | 52.3842 | 30.7131 | 51.8160 | 51.8629   | 4.1883  |
| 0.6327        | 9.99  | 937  | 0.7134          | 52.4103 | 31.1474 | 51.8047 | 51.8294   | 4.2903  |
| 0.5576        | 11.0  | 1031 | 0.7125          | 52.8364 | 31.2692 | 52.1248 | 52.1554   | 4.3261  |
| 0.5576        | 12.0  | 1125 | 0.7093          | 52.7446 | 30.9128 | 52.0864 | 52.1538   | 4.4202  |
| 0.5576        | 12.99 | 1218 | 0.7104          | 52.9125 | 31.4285 | 52.2397 | 52.2962   | 4.2918  |
| 0.5576        | 13.99 | 1312 | 0.7127          | 53.4228 | 32.2228 | 52.6175 | 52.6691   | 4.2265  |
| 0.5576        | 14.88 | 1395 | 0.7154          | 53.3020 | 31.8649 | 52.6180 | 52.6507   | 4.2934  |


### Framework versions

- Transformers 4.27.0
- Pytorch 2.1.2
- Datasets 2.8.0
- Tokenizers 0.13.3