---
license: apache-2.0
base_model: google/long-t5-local-base
tags:
- generated_from_trainer
model-index:
- name: long-t5-local-base-ARv1
  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. -->

# long-t5-local-base-ARv1

This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3963
- Exact Match: 10.0
- Gen Len: 3.9

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
| No log        | 1.0   | 7    | 19.4103         | 0.0         | 19.0    |
| 24.1098       | 2.0   | 14   | 16.1054         | 0.0         | 19.0    |
| 18.4141       | 3.0   | 21   | 13.2155         | 0.0         | 19.0    |
| 18.4141       | 4.0   | 28   | 10.5562         | 0.0         | 19.0    |
| 14.3671       | 5.0   | 35   | 7.3648          | 0.0         | 18.68   |
| 10.2783       | 6.0   | 42   | 5.4277          | 4.0         | 16.44   |
| 10.2783       | 7.0   | 49   | 4.8687          | 18.0        | 7.88    |
| 7.6519        | 8.0   | 56   | 4.4226          | 26.0        | 3.06    |
| 5.7049        | 9.0   | 63   | 4.1797          | 28.0        | 3.06    |
| 5.0241        | 10.0  | 70   | 4.0197          | 24.0        | 4.74    |
| 5.0241        | 11.0  | 77   | 3.8360          | 8.0         | 7.58    |
| 4.1884        | 12.0  | 84   | 3.7251          | 6.0         | 8.74    |
| 3.3779        | 13.0  | 91   | 3.6448          | 6.0         | 6.94    |
| 3.3779        | 14.0  | 98   | 3.5611          | 10.0        | 4.66    |
| 3.149         | 15.0  | 105  | 3.4972          | 6.0         | 4.54    |
| 3.1238        | 16.0  | 112  | 3.4741          | 8.0         | 3.8     |
| 3.1238        | 17.0  | 119  | 3.4431          | 8.0         | 3.86    |
| 3.2917        | 18.0  | 126  | 3.4290          | 10.0        | 3.88    |
| 3.001         | 19.0  | 133  | 3.4080          | 10.0        | 3.9     |
| 3.8795        | 20.0  | 140  | 3.3963          | 10.0        | 3.9     |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.1
- Datasets 2.19.1
- Tokenizers 0.19.1