---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: genz_model1
  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. -->

# genz_model1

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: 1.2337
- Bleu: 37.5629
- Gen Len: 15.215

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 107  | 2.0122          | 27.3045 | 15.4416 |
| No log        | 2.0   | 214  | 1.8166          | 32.1348 | 15.285  |
| No log        | 3.0   | 321  | 1.7273          | 32.6473 | 15.4603 |
| No log        | 4.0   | 428  | 1.6669          | 32.8528 | 15.514  |
| 1.9696        | 5.0   | 535  | 1.6214          | 33.6367 | 15.507  |
| 1.9696        | 6.0   | 642  | 1.5815          | 33.5927 | 15.4743 |
| 1.9696        | 7.0   | 749  | 1.5481          | 34.0762 | 15.5    |
| 1.9696        | 8.0   | 856  | 1.5236          | 34.3891 | 15.4416 |
| 1.9696        | 9.0   | 963  | 1.4948          | 34.0203 | 15.4673 |
| 1.56          | 10.0  | 1070 | 1.4733          | 33.9927 | 15.4416 |
| 1.56          | 11.0  | 1177 | 1.4559          | 34.468  | 15.3972 |
| 1.56          | 12.0  | 1284 | 1.4334          | 34.3625 | 15.3785 |
| 1.56          | 13.0  | 1391 | 1.4167          | 34.721  | 15.3388 |
| 1.56          | 14.0  | 1498 | 1.4017          | 34.7409 | 15.4136 |
| 1.4159        | 15.0  | 1605 | 1.3886          | 34.7995 | 15.3738 |
| 1.4159        | 16.0  | 1712 | 1.3733          | 34.7944 | 15.3879 |
| 1.4159        | 17.0  | 1819 | 1.3627          | 35.0969 | 15.4089 |
| 1.4159        | 18.0  | 1926 | 1.3517          | 35.157  | 15.3505 |
| 1.3203        | 19.0  | 2033 | 1.3452          | 34.9134 | 15.2126 |
| 1.3203        | 20.0  | 2140 | 1.3325          | 35.5535 | 15.3084 |
| 1.3203        | 21.0  | 2247 | 1.3268          | 35.9899 | 15.2056 |
| 1.3203        | 22.0  | 2354 | 1.3163          | 36.1116 | 15.243  |
| 1.3203        | 23.0  | 2461 | 1.3115          | 36.2296 | 15.1752 |
| 1.2505        | 24.0  | 2568 | 1.3038          | 36.5635 | 15.2056 |
| 1.2505        | 25.0  | 2675 | 1.2996          | 36.7848 | 15.2243 |
| 1.2505        | 26.0  | 2782 | 1.2914          | 36.3015 | 15.2336 |
| 1.2505        | 27.0  | 2889 | 1.2856          | 36.73   | 15.2664 |
| 1.2505        | 28.0  | 2996 | 1.2810          | 36.8486 | 15.2897 |
| 1.1949        | 29.0  | 3103 | 1.2780          | 37.1042 | 15.243  |
| 1.1949        | 30.0  | 3210 | 1.2729          | 37.1394 | 15.2617 |
| 1.1949        | 31.0  | 3317 | 1.2673          | 36.9584 | 15.2967 |
| 1.1949        | 32.0  | 3424 | 1.2637          | 37.4488 | 15.2547 |
| 1.156         | 33.0  | 3531 | 1.2607          | 37.3112 | 15.278  |
| 1.156         | 34.0  | 3638 | 1.2573          | 37.5048 | 15.2313 |
| 1.156         | 35.0  | 3745 | 1.2532          | 37.4771 | 15.2967 |
| 1.156         | 36.0  | 3852 | 1.2512          | 37.4967 | 15.3014 |
| 1.156         | 37.0  | 3959 | 1.2494          | 37.5326 | 15.236  |
| 1.1272        | 38.0  | 4066 | 1.2470          | 37.5807 | 15.2266 |
| 1.1272        | 39.0  | 4173 | 1.2455          | 37.5478 | 15.229  |
| 1.1272        | 40.0  | 4280 | 1.2435          | 37.7117 | 15.236  |
| 1.1272        | 41.0  | 4387 | 1.2402          | 37.3874 | 15.2547 |
| 1.1272        | 42.0  | 4494 | 1.2389          | 37.584  | 15.243  |
| 1.11          | 43.0  | 4601 | 1.2377          | 37.5384 | 15.2336 |
| 1.11          | 44.0  | 4708 | 1.2364          | 37.5339 | 15.2453 |
| 1.11          | 45.0  | 4815 | 1.2362          | 37.5626 | 15.229  |
| 1.11          | 46.0  | 4922 | 1.2355          | 37.518  | 15.222  |
| 1.0999        | 47.0  | 5029 | 1.2343          | 37.5847 | 15.243  |
| 1.0999        | 48.0  | 5136 | 1.2339          | 37.5871 | 15.2313 |
| 1.0999        | 49.0  | 5243 | 1.2338          | 37.5592 | 15.236  |
| 1.0999        | 50.0  | 5350 | 1.2337          | 37.5629 | 15.215  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3