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-dataset-frequency-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-dataset-frequency-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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.244         | 1.0   | 392   | 7.3922          |
| 5.8979        | 2.0   | 784   | 6.1032          |
| 0.4199        | 3.0   | 1176  | 0.4008          |
| 0.4443        | 4.0   | 1568  | 0.4013          |
| 0.4228        | 5.0   | 1960  | 0.3946          |
| 0.4336        | 6.0   | 2352  | 0.3940          |
| 0.4081        | 7.0   | 2744  | 0.4408          |
| 0.4224        | 8.0   | 3136  | 0.4507          |
| 0.3985        | 9.0   | 3528  | 0.3976          |
| 0.4133        | 10.0  | 3920  | 0.3935          |
| 0.4117        | 11.0  | 4312  | 0.3920          |
| 0.4209        | 12.0  | 4704  | 0.3963          |
| 0.4197        | 13.0  | 5096  | 0.3932          |
| 0.3975        | 14.0  | 5488  | 0.3915          |
| 0.3912        | 15.0  | 5880  | 0.3914          |
| 0.4029        | 16.0  | 6272  | 0.3903          |
| 0.3973        | 17.0  | 6664  | 0.3904          |
| 0.388         | 18.0  | 7056  | 0.3926          |
| 0.4023        | 19.0  | 7448  | 0.3908          |
| 0.3911        | 20.0  | 7840  | 0.3893          |
| 0.4102        | 21.0  | 8232  | 0.3895          |
| 0.396         | 22.0  | 8624  | 0.3891          |
| 0.3899        | 23.0  | 9016  | 0.3895          |
| 0.3941        | 24.0  | 9408  | 0.3885          |
| 0.3813        | 25.0  | 9800  | 0.3890          |
| 0.3883        | 26.0  | 10192 | 0.3889          |
| 0.4008        | 27.0  | 10584 | 0.3889          |
| 0.3892        | 28.0  | 10976 | 0.3889          |
| 0.4184        | 29.0  | 11368 | 0.3889          |


### Framework versions

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