transformers safetensors t5 text2text-generation generated_from_trainer dataset:generator base_model:google-t5/t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
datasets:
- generator
metrics:
- bleu
model-index:
- name: first_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: generator
      type: generator
      config: default
      split: train
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0023
---

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# first_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1556
- Bleu: 0.0023
- Gen Len: 19.0

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 34   | 1.3360          | 0.0013 | 19.0    |
| No log        | 2.0   | 68   | 1.1556          | 0.0023 | 19.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2
