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-inter_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-inter_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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.0299        | 1.0   | 392   | 7.1712          |
| 5.824         | 2.0   | 784   | 6.1194          |
| 0.6581        | 3.0   | 1176  | 0.6618          |
| 0.7217        | 4.0   | 1568  | 0.6473          |
| 0.695         | 5.0   | 1960  | 0.6467          |
| 0.7119        | 6.0   | 2352  | 0.6469          |
| 0.658         | 7.0   | 2744  | 0.6460          |
| 0.6706        | 8.0   | 3136  | 0.6381          |
| 0.6564        | 9.0   | 3528  | 0.6413          |
| 0.6765        | 10.0  | 3920  | 0.6368          |
| 0.6722        | 11.0  | 4312  | 0.6359          |
| 0.6749        | 12.0  | 4704  | 0.6369          |
| 0.6858        | 13.0  | 5096  | 0.6381          |
| 0.6491        | 14.0  | 5488  | 0.6354          |
| 0.6631        | 15.0  | 5880  | 0.6341          |
| 0.6648        | 16.0  | 6272  | 0.6325          |
| 0.6538        | 17.0  | 6664  | 0.6318          |
| 0.6389        | 18.0  | 7056  | 0.6341          |
| 0.679         | 19.0  | 7448  | 0.6315          |
| 0.6495        | 20.0  | 7840  | 0.6314          |
| 0.6674        | 21.0  | 8232  | 0.6313          |
| 0.6358        | 22.0  | 8624  | 0.6308          |
| 0.6215        | 23.0  | 9016  | 0.6305          |
| 0.6449        | 24.0  | 9408  | 0.6303          |
| 0.6243        | 25.0  | 9800  | 0.6304          |
| 0.6454        | 26.0  | 10192 | 0.6303          |
| 0.6413        | 27.0  | 10584 | 0.6303          |
| 0.627         | 28.0  | 10976 | 0.6303          |
| 0.672         | 29.0  | 11368 | 0.6303          |
| 0.6064        | 30.0  | 11760 | 0.6303          |


### Framework versions

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