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: ghc-google-t5-v1_1-large-intra_model-sorted
  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. -->

# ghc-google-t5-v1_1-large-intra_model-sorted

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: 0.2695

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 15.9581       | 1.0   | 345  | 15.6856         |
| 10.8736       | 2.0   | 690  | 11.4385         |
| 10.3765       | 3.0   | 1035 | 10.8459         |
| 3.15          | 4.0   | 1380 | 2.7128          |
| 0.2927        | 5.0   | 1725 | 0.2377          |
| 0.3245        | 6.0   | 2070 | 0.2290          |
| 0.3004        | 7.0   | 2415 | 0.2255          |
| 0.2514        | 8.0   | 2760 | 0.2242          |
| 0.2371        | 9.0   | 3105 | 0.2189          |
| 0.2359        | 10.0  | 3450 | 0.2122          |
| 0.2501        | 11.0  | 3795 | 0.2092          |
| 0.2344        | 12.0  | 4140 | 0.2053          |
| 0.2419        | 13.0  | 4485 | 0.2090          |
| 0.2542        | 14.0  | 4830 | 0.2080          |
| 0.227         | 15.0  | 5175 | 0.2079          |
| 0.2213        | 16.0  | 5520 | 0.2055          |
| 0.2104        | 17.0  | 5865 | 0.2066          |


### Framework versions

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