---
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-sorted-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-sorted-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: 2.4023

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 21.0529       | 1.0   | 44   | 22.8438         |
| 19.8705       | 2.0   | 88   | 18.5102         |
| 15.6787       | 3.0   | 132  | 12.3789         |
| 12.2348       | 4.0   | 176  | 11.0309         |
| 10.1559       | 5.0   | 220  | 10.6052         |
| 9.7633        | 6.0   | 264  | 10.3095         |
| 9.6742        | 7.0   | 308  | 10.2322         |
| 9.5533        | 8.0   | 352  | 10.1060         |
| 9.1403        | 9.0   | 396  | 9.6300          |
| 8.592         | 10.0  | 440  | 9.1220          |
| 8.4005        | 11.0  | 484  | 8.8250          |
| 8.2765        | 12.0  | 528  | 8.6542          |
| 7.9206        | 13.0  | 572  | 8.5108          |
| 1.7776        | 14.0  | 616  | 0.9630          |
| 0.9247        | 15.0  | 660  | 0.8549          |
| 0.9119        | 16.0  | 704  | 0.8479          |
| 0.9041        | 17.0  | 748  | 0.8443          |
| 0.9051        | 18.0  | 792  | 0.8442          |
| 0.8938        | 19.0  | 836  | 0.8585          |
| 0.8868        | 20.0  | 880  | 0.8510          |
| 0.8859        | 21.0  | 924  | 0.8462          |
| 0.8982        | 22.0  | 968  | 0.8460          |
| 0.8848        | 23.0  | 1012 | 0.8481          |


### Framework versions

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