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-inter_model-shuffle-model_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-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.9569       | 1.0   | 44   | 24.5425         |
| 17.0234       | 2.0   | 88   | 15.4055         |
| 11.6683       | 3.0   | 132  | 9.5059          |
| 8.8616        | 4.0   | 176  | 8.7957          |
| 8.2698        | 5.0   | 220  | 8.6316          |
| 8.1875        | 6.0   | 264  | 8.5314          |
| 7.99          | 7.0   | 308  | 8.4160          |
| 7.8585        | 8.0   | 352  | 8.2126          |
| 7.5473        | 9.0   | 396  | 7.7908          |
| 7.1869        | 10.0  | 440  | 7.4343          |
| 7.0103        | 11.0  | 484  | 7.2743          |
| 6.9522        | 12.0  | 528  | 7.1678          |
| 6.8309        | 13.0  | 572  | 7.0572          |
| 1.2882        | 14.0  | 616  | 1.0288          |
| 1.0846        | 15.0  | 660  | 1.0039          |
| 1.072         | 16.0  | 704  | 0.9993          |
| 1.0704        | 17.0  | 748  | 0.9972          |
| 1.0643        | 18.0  | 792  | 0.9962          |
| 1.0574        | 19.0  | 836  | 0.9945          |
| 1.0485        | 20.0  | 880  | 0.9926          |
| 1.0436        | 21.0  | 924  | 0.9924          |
| 1.0587        | 22.0  | 968  | 0.9950          |
| 1.0569        | 23.0  | 1012 | 0.9906          |
| 1.0393        | 24.0  | 1056 | 0.9922          |
| 1.0438        | 25.0  | 1100 | 0.9931          |
| 1.0579        | 26.0  | 1144 | 0.9880          |
| 1.0194        | 27.0  | 1188 | 0.9909          |
| 1.0475        | 28.0  | 1232 | 0.9906          |
| 1.0494        | 29.0  | 1276 | 0.9887          |


### Framework versions

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