generated_from_trainer base_model:google/t5-v1_1-large license:apache-2.0 region:us
---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: SBIC-google-t5-v1_1-large-intra_model-shuffle-model_annots_str
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SBIC-google-t5-v1_1-large-intra_model-shuffle-model_annots_str

This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.8483        | 1.0   | 392   | 7.2176          |
| 5.8232        | 2.0   | 784   | 6.1652          |
| 0.842         | 3.0   | 1176  | 0.7614          |
| 0.7929        | 4.0   | 1568  | 0.7592          |
| 0.7685        | 5.0   | 1960  | 0.7490          |
| 0.8076        | 6.0   | 2352  | 0.7472          |
| 0.7376        | 7.0   | 2744  | 0.7534          |
| 0.7686        | 8.0   | 3136  | 0.7481          |
| 0.769         | 9.0   | 3528  | 0.7376          |
| 0.7466        | 10.0  | 3920  | 0.7362          |
| 0.7677        | 11.0  | 4312  | 0.7305          |
| 0.7435        | 12.0  | 4704  | 0.7307          |
| 0.773         | 13.0  | 5096  | 0.7294          |
| 0.751         | 14.0  | 5488  | 0.7281          |
| 0.7256        | 15.0  | 5880  | 0.7233          |
| 0.7545        | 16.0  | 6272  | 0.7235          |
| 0.7427        | 17.0  | 6664  | 0.7221          |
| 0.7851        | 18.0  | 7056  | 0.7219          |
| 0.758         | 19.0  | 7448  | 0.7217          |
| 0.7081        | 20.0  | 7840  | 0.7205          |
| 0.7336        | 21.0  | 8232  | 0.7190          |
| 0.7582        | 22.0  | 8624  | 0.7187          |
| 0.7475        | 23.0  | 9016  | 0.7186          |
| 0.7403        | 24.0  | 9408  | 0.7185          |
| 0.7151        | 25.0  | 9800  | 0.7182          |
| 0.7322        | 26.0  | 10192 | 0.7182          |
| 0.7483        | 27.0  | 10584 | 0.7182          |
| 0.7388        | 28.0  | 10976 | 0.7182          |
| 0.7496        | 29.0  | 11368 | 0.7182          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
