---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ALL_manual_mt5-base_15_spider_no_sch_15
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ALL_manual_mt5-base_15_spider_no_sch_15

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0378
- Rouge2 Precision: 0.7495
- Rouge2 Recall: 0.5027
- Rouge2 Fmeasure: 0.5711

## 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: 15
- eval_batch_size: 16
- seed: 42
- 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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 1.7943        | 1.0   | 1293  | 0.3227          | 0.2802           | 0.1766        | 0.1964          |
| 0.2825        | 2.0   | 2586  | 0.1790          | 0.4482           | 0.2731        | 0.318           |
| 0.2224        | 3.0   | 3879  | 0.1336          | 0.5122           | 0.3371        | 0.3817          |
| 0.1691        | 4.0   | 5172  | 0.1052          | 0.5597           | 0.3717        | 0.4211          |
| 0.1483        | 5.0   | 6465  | 0.0861          | 0.6096           | 0.4062        | 0.4603          |
| 0.1261        | 6.0   | 7758  | 0.0735          | 0.6317           | 0.4226        | 0.4787          |
| 0.1088        | 7.0   | 9051  | 0.0637          | 0.6726           | 0.4493        | 0.5099          |
| 0.1015        | 8.0   | 10344 | 0.0569          | 0.688            | 0.462         | 0.5237          |
| 0.0915        | 9.0   | 11637 | 0.0512          | 0.6945           | 0.4626        | 0.526           |
| 0.0865        | 10.0  | 12930 | 0.0469          | 0.7244           | 0.4879        | 0.5529          |
| 0.0799        | 11.0  | 14223 | 0.0439          | 0.7377           | 0.495         | 0.5615          |
| 0.0757        | 12.0  | 15516 | 0.0413          | 0.743            | 0.4983        | 0.5659          |
| 0.074         | 13.0  | 16809 | 0.0393          | 0.749            | 0.5028        | 0.5707          |
| 0.0718        | 14.0  | 18102 | 0.0382          | 0.7485           | 0.5018        | 0.5701          |
| 0.0708        | 15.0  | 19395 | 0.0378          | 0.7495           | 0.5027        | 0.5711          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3