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: SBIC-google-t5-v1_1-large-inter_model-sorted-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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# SBIC-google-t5-v1_1-large-inter_model-sorted-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: 0.3779

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.2075        | 1.0   | 392  | 7.3148          |
| 5.9671        | 2.0   | 784  | 6.1609          |
| 0.4036        | 3.0   | 1176 | 0.3731          |
| 0.4136        | 4.0   | 1568 | 0.3687          |
| 0.3907        | 5.0   | 1960 | 0.3661          |
| 0.399         | 6.0   | 2352 | 0.3644          |
| 0.3838        | 7.0   | 2744 | 0.3664          |
| 0.3855        | 8.0   | 3136 | 0.3641          |
| 0.3764        | 9.0   | 3528 | 0.3633          |
| 0.3785        | 10.0  | 3920 | 0.3631          |
| 0.3966        | 11.0  | 4312 | 0.3633          |
| 0.3906        | 12.0  | 4704 | 0.3618          |
| 0.3935        | 13.0  | 5096 | 0.3613          |
| 0.3724        | 14.0  | 5488 | 0.3622          |
| 0.3697        | 15.0  | 5880 | 0.3597          |
| 0.3878        | 16.0  | 6272 | 0.3606          |
| 0.3825        | 17.0  | 6664 | 0.3584          |
| 0.3788        | 18.0  | 7056 | 0.3583          |
| 0.3863        | 19.0  | 7448 | 0.3593          |
| 0.3674        | 20.0  | 7840 | 0.3593          |
| 0.3771        | 21.0  | 8232 | 0.3585          |


### Framework versions

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