transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: sMPNG_t5_base_test
  results: []
---

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# sMPNG_t5_base_test

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3948
- Bleu: 61.2155
- Gen Len: 7.3325

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.889         | 1.0   | 5246   | 0.7274          | 43.8011 | 7.0999  |
| 0.7403        | 2.0   | 10492  | 0.6177          | 48.5778 | 7.2271  |
| 0.6483        | 3.0   | 15738  | 0.5612          | 51.6132 | 7.131   |
| 0.5839        | 4.0   | 20984  | 0.5213          | 53.6657 | 7.2675  |
| 0.5613        | 5.0   | 26230  | 0.4986          | 55.0196 | 7.2437  |
| 0.5172        | 6.0   | 31476  | 0.4797          | 56.0442 | 7.3339  |
| 0.4929        | 7.0   | 36722  | 0.4588          | 56.7114 | 7.3136  |
| 0.4786        | 8.0   | 41968  | 0.4452          | 57.7053 | 7.3036  |
| 0.4382        | 9.0   | 47214  | 0.4341          | 57.9617 | 7.2889  |
| 0.4214        | 10.0  | 52460  | 0.4268          | 58.3971 | 7.3519  |
| 0.4187        | 11.0  | 57706  | 0.4178          | 58.9582 | 7.3124  |
| 0.397         | 12.0  | 62952  | 0.4115          | 59.5624 | 7.2993  |
| 0.3848        | 13.0  | 68198  | 0.4049          | 60.4898 | 7.3177  |
| 0.3635        | 14.0  | 73444  | 0.4037          | 60.5544 | 7.3293  |
| 0.3669        | 15.0  | 78690  | 0.4015          | 60.8635 | 7.3081  |
| 0.3675        | 16.0  | 83936  | 0.3968          | 60.8527 | 7.3213  |
| 0.3548        | 17.0  | 89182  | 0.3974          | 60.8292 | 7.3292  |
| 0.3534        | 18.0  | 94428  | 0.3944          | 61.1633 | 7.3402  |
| 0.35          | 19.0  | 99674  | 0.3947          | 61.1179 | 7.3329  |
| 0.3299        | 20.0  | 104920 | 0.3948          | 61.2155 | 7.3325  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
