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-human_annots_str
  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. -->

# SBIC-google-t5-v1_1-large-inter_model-shuffle-human_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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.7989        | 1.0   | 392   | 8.3528          |
| 0.6988        | 2.0   | 784   | 0.5020          |
| 0.5046        | 3.0   | 1176  | 0.4843          |
| 0.5099        | 4.0   | 1568  | 0.4706          |
| 0.4526        | 5.0   | 1960  | 0.4291          |
| 0.469         | 6.0   | 2352  | 0.4223          |
| 0.4408        | 7.0   | 2744  | 0.4136          |
| 0.4763        | 8.0   | 3136  | 0.4142          |
| 0.446         | 9.0   | 3528  | 0.4116          |
| 0.4315        | 10.0  | 3920  | 0.4035          |
| 0.3821        | 11.0  | 4312  | 0.4077          |
| 0.4399        | 12.0  | 4704  | 0.4009          |
| 0.4285        | 13.0  | 5096  | 0.3962          |
| 0.3908        | 14.0  | 5488  | 0.3931          |
| 0.3887        | 15.0  | 5880  | 0.3922          |
| 0.398         | 16.0  | 6272  | 0.3862          |
| 0.3964        | 17.0  | 6664  | 0.3931          |
| 0.3939        | 18.0  | 7056  | 0.3892          |
| 0.372         | 19.0  | 7448  | 0.3824          |
| 0.4364        | 20.0  | 7840  | 0.3779          |
| 0.3722        | 21.0  | 8232  | 0.3760          |
| 0.343         | 22.0  | 8624  | 0.3804          |
| 0.3946        | 23.0  | 9016  | 0.3756          |
| 0.3899        | 24.0  | 9408  | 0.3756          |
| 0.4195        | 25.0  | 9800  | 0.3762          |
| 0.4072        | 26.0  | 10192 | 0.3758          |
| 0.379         | 27.0  | 10584 | 0.3758          |


### Framework versions

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