---
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-frequency-human_annots_str
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# SBIC-google-t5-v1_1-large-inter_model-frequency-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: 0.3635

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.7146        | 1.0   | 392   | 8.2917          |
| 0.5241        | 2.0   | 784   | 0.4371          |
| 0.4312        | 3.0   | 1176  | 0.4278          |
| 0.4359        | 4.0   | 1568  | 0.4084          |
| 0.3616        | 5.0   | 1960  | 0.3634          |
| 0.397         | 6.0   | 2352  | 0.3568          |
| 0.3647        | 7.0   | 2744  | 0.3387          |
| 0.3936        | 8.0   | 3136  | 0.3365          |
| 0.3614        | 9.0   | 3528  | 0.3341          |
| 0.3403        | 10.0  | 3920  | 0.3278          |
| 0.3048        | 11.0  | 4312  | 0.3227          |
| 0.347         | 12.0  | 4704  | 0.3218          |
| 0.337         | 13.0  | 5096  | 0.3136          |
| 0.3166        | 14.0  | 5488  | 0.3112          |
| 0.3021        | 15.0  | 5880  | 0.3119          |
| 0.3155        | 16.0  | 6272  | 0.3051          |
| 0.2965        | 17.0  | 6664  | 0.3054          |
| 0.3196        | 18.0  | 7056  | 0.2989          |
| 0.2857        | 19.0  | 7448  | 0.2964          |
| 0.3776        | 20.0  | 7840  | 0.2905          |
| 0.288         | 21.0  | 8232  | 0.2889          |
| 0.2632        | 22.0  | 8624  | 0.2911          |
| 0.3014        | 23.0  | 9016  | 0.2862          |
| 0.3015        | 24.0  | 9408  | 0.2869          |
| 0.3254        | 25.0  | 9800  | 0.2858          |
| 0.3178        | 26.0  | 10192 | 0.2860          |
| 0.2994        | 27.0  | 10584 | 0.2860          |
| 0.2893        | 28.0  | 10976 | 0.2860          |


### Framework versions

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