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: Sentiment-google-t5-v1_1-large-intra_model-shuffle-human_annots_str
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sentiment-google-t5-v1_1-large-intra_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: 7.5234

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 21.0865       | 1.0   | 44   | 23.6328         |
| 19.3373       | 2.0   | 88   | 17.3411         |
| 14.3861       | 3.0   | 132  | 11.9747         |
| 11.4823       | 4.0   | 176  | 10.9355         |
| 10.5154       | 5.0   | 220  | 10.7808         |
| 10.1482       | 6.0   | 264  | 10.7065         |
| 10.0319       | 7.0   | 308  | 10.5792         |
| 9.8259        | 8.0   | 352  | 10.2032         |
| 9.1712        | 9.0   | 396  | 9.5730          |
| 8.8567        | 10.0  | 440  | 9.2184          |
| 8.626         | 11.0  | 484  | 9.0661          |
| 8.5469        | 12.0  | 528  | 8.9471          |
| 6.3996        | 13.0  | 572  | 1.5474          |
| 1.3785        | 14.0  | 616  | 1.3062          |
| 1.3229        | 15.0  | 660  | 1.2992          |
| 1.3309        | 16.0  | 704  | 1.3052          |
| 1.3341        | 17.0  | 748  | 1.2961          |
| 1.3281        | 18.0  | 792  | 1.2946          |
| 1.3219        | 19.0  | 836  | 1.3034          |
| 1.3185        | 20.0  | 880  | 1.2989          |
| 1.3184        | 21.0  | 924  | 1.2985          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
