---
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-dataset-frequency-model_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-intra_model-dataset-frequency-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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.9506        | 1.0   | 392   | 7.3966          |
| 5.9108        | 2.0   | 784   | 6.2364          |
| 0.4499        | 3.0   | 1176  | 0.4162          |
| 0.4211        | 4.0   | 1568  | 0.4084          |
| 0.4066        | 5.0   | 1960  | 0.3981          |
| 0.4305        | 6.0   | 2352  | 0.4011          |
| 0.386         | 7.0   | 2744  | 0.4107          |
| 0.4028        | 8.0   | 3136  | 0.4002          |
| 0.4005        | 9.0   | 3528  | 0.3864          |
| 0.387         | 10.0  | 3920  | 0.3870          |
| 0.3903        | 11.0  | 4312  | 0.3876          |
| 0.3943        | 12.0  | 4704  | 0.3832          |
| 0.4032        | 13.0  | 5096  | 0.3837          |
| 0.3887        | 14.0  | 5488  | 0.3822          |
| 0.38          | 15.0  | 5880  | 0.3804          |
| 0.3982        | 16.0  | 6272  | 0.3781          |
| 0.3941        | 17.0  | 6664  | 0.3795          |
| 0.4079        | 18.0  | 7056  | 0.3783          |
| 0.3976        | 19.0  | 7448  | 0.3780          |
| 0.3705        | 20.0  | 7840  | 0.3764          |
| 0.3833        | 21.0  | 8232  | 0.3771          |
| 0.3835        | 22.0  | 8624  | 0.3752          |
| 0.3786        | 23.0  | 9016  | 0.3764          |
| 0.373         | 24.0  | 9408  | 0.3764          |
| 0.364         | 25.0  | 9800  | 0.3754          |
| 0.3807        | 26.0  | 10192 | 0.3756          |
| 0.3914        | 27.0  | 10584 | 0.3756          |


### Framework versions

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