---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: Sentiment-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
should probably proofread and complete it, then remove this comment. -->

# Sentiment-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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.9297       | 1.0   | 44   | 24.0270         |
| 17.8061       | 2.0   | 88   | 15.7129         |
| 12.1985       | 3.0   | 132  | 9.5557          |
| 9.3551        | 4.0   | 176  | 8.8485          |
| 8.3343        | 5.0   | 220  | 8.6630          |
| 8.1976        | 6.0   | 264  | 8.5339          |
| 8.0013        | 7.0   | 308  | 8.4201          |
| 7.8655        | 8.0   | 352  | 8.2116          |
| 7.4859        | 9.0   | 396  | 7.6870          |
| 7.122         | 10.0  | 440  | 7.3664          |
| 6.9723        | 11.0  | 484  | 7.2356          |
| 6.9118        | 12.0  | 528  | 7.1352          |
| 6.7457        | 13.0  | 572  | 6.9906          |
| 1.1378        | 14.0  | 616  | 1.0087          |
| 1.082         | 15.0  | 660  | 1.0024          |
| 1.0727        | 16.0  | 704  | 1.0054          |
| 1.0694        | 17.0  | 748  | 0.9990          |
| 1.0636        | 18.0  | 792  | 0.9929          |
| 1.053         | 19.0  | 836  | 0.9968          |
| 1.0486        | 20.0  | 880  | 0.9923          |
| 1.0446        | 21.0  | 924  | 0.9907          |
| 1.0551        | 22.0  | 968  | 0.9910          |
| 1.0583        | 23.0  | 1012 | 0.9896          |
| 1.0463        | 24.0  | 1056 | 0.9915          |
| 1.049         | 25.0  | 1100 | 0.9883          |
| 1.0603        | 26.0  | 1144 | 0.9879          |
| 1.0221        | 27.0  | 1188 | 0.9890          |
| 1.0526        | 28.0  | 1232 | 0.9904          |
| 1.0529        | 29.0  | 1276 | 0.9857          |
| 1.0373        | 30.0  | 1320 | 0.9888          |
| 1.0604        | 31.0  | 1364 | 0.9878          |
| 1.0393        | 32.0  | 1408 | 0.9872          |


### Framework versions

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