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-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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# SBIC-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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.6138        | 1.0   | 392   | 8.1643          |
| 0.4543        | 2.0   | 784   | 0.3929          |
| 0.3959        | 3.0   | 1176  | 0.3619          |
| 0.3931        | 4.0   | 1568  | 0.3631          |
| 0.3428        | 5.0   | 1960  | 0.3201          |
| 0.3521        | 6.0   | 2352  | 0.3129          |
| 0.3306        | 7.0   | 2744  | 0.3007          |
| 0.348         | 8.0   | 3136  | 0.2991          |
| 0.3254        | 9.0   | 3528  | 0.2963          |
| 0.3055        | 10.0  | 3920  | 0.2918          |
| 0.2827        | 11.0  | 4312  | 0.2891          |
| 0.3178        | 12.0  | 4704  | 0.2854          |
| 0.2993        | 13.0  | 5096  | 0.2815          |
| 0.2825        | 14.0  | 5488  | 0.2779          |
| 0.2974        | 15.0  | 5880  | 0.2824          |
| 0.2857        | 16.0  | 6272  | 0.2691          |
| 0.2684        | 17.0  | 6664  | 0.2795          |
| 0.2779        | 18.0  | 7056  | 0.2722          |
| 0.2578        | 19.0  | 7448  | 0.2625          |
| 0.3068        | 20.0  | 7840  | 0.2582          |
| 0.2484        | 21.0  | 8232  | 0.2576          |
| 0.2334        | 22.0  | 8624  | 0.2590          |
| 0.2748        | 23.0  | 9016  | 0.2548          |
| 0.2593        | 24.0  | 9408  | 0.2575          |
| 0.2752        | 25.0  | 9800  | 0.2552          |
| 0.2683        | 26.0  | 10192 | 0.2550          |
| 0.263         | 27.0  | 10584 | 0.2550          |
| 0.2605        | 28.0  | 10976 | 0.2550          |


### Framework versions

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