---
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-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. -->

# Sentiment-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: 1.3838

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.9707       | 1.0   | 44   | 24.0812         |
| 19.1584       | 2.0   | 88   | 19.1069         |
| 14.7114       | 3.0   | 132  | 12.0456         |
| 11.3751       | 4.0   | 176  | 10.9758         |
| 10.1468       | 5.0   | 220  | 10.7621         |
| 10.0067       | 6.0   | 264  | 10.6808         |
| 10.0007       | 7.0   | 308  | 10.5435         |
| 9.7079        | 8.0   | 352  | 10.1514         |
| 9.182         | 9.0   | 396  | 9.5931          |
| 8.7756        | 10.0  | 440  | 9.2557          |
| 8.6941        | 11.0  | 484  | 9.0992          |
| 8.6156        | 12.0  | 528  | 8.9849          |
| 8.1186        | 13.0  | 572  | 8.7739          |
| 1.4193        | 14.0  | 616  | 1.3089          |
| 1.3333        | 15.0  | 660  | 1.3014          |
| 1.3499        | 16.0  | 704  | 1.3009          |
| 1.3384        | 17.0  | 748  | 1.2995          |
| 1.332         | 18.0  | 792  | 1.2958          |
| 1.3226        | 19.0  | 836  | 1.3095          |
| 1.318         | 20.0  | 880  | 1.3012          |
| 1.3192        | 21.0  | 924  | 1.2978          |


### Framework versions

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