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-sorted-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-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: 5.1523

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 21.4519       | 1.0   | 44   | 23.5551         |
| 18.9968       | 2.0   | 88   | 14.8263         |
| 14.9431       | 3.0   | 132  | 12.4969         |
| 12.6115       | 4.0   | 176  | 11.0088         |
| 10.6403       | 5.0   | 220  | 10.5915         |
| 9.9328        | 6.0   | 264  | 10.3356         |
| 9.7009        | 7.0   | 308  | 10.2266         |
| 9.6314        | 8.0   | 352  | 10.0653         |
| 9.0124        | 9.0   | 396  | 9.4660          |
| 8.5964        | 10.0  | 440  | 8.9690          |
| 8.2786        | 11.0  | 484  | 8.7360          |
| 8.1874        | 12.0  | 528  | 8.5747          |
| 7.731         | 13.0  | 572  | 8.2712          |
| 1.0229        | 14.0  | 616  | 0.8619          |
| 0.9062        | 15.0  | 660  | 0.8607          |
| 0.9159        | 16.0  | 704  | 0.8539          |
| 0.9008        | 17.0  | 748  | 0.8525          |
| 0.8876        | 18.0  | 792  | 0.8460          |
| 0.8877        | 19.0  | 836  | 0.8504          |
| 0.8792        | 20.0  | 880  | 0.8484          |
| 0.8778        | 21.0  | 924  | 0.8492          |


### Framework versions

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