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-inter_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-inter_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: 0.2715

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 19.7566       | 1.0   | 345   | 17.7436         |
| 13.8344       | 2.0   | 690   | 12.7846         |
| 11.4651       | 3.0   | 1035  | 12.1160         |
| 0.5573        | 4.0   | 1380  | 0.4277          |
| 0.4353        | 5.0   | 1725  | 0.2603          |
| 0.3576        | 6.0   | 2070  | 0.2659          |
| 0.2938        | 7.0   | 2415  | 0.2504          |
| 0.3004        | 8.0   | 2760  | 0.2596          |
| 0.2794        | 9.0   | 3105  | 0.2495          |
| 0.3628        | 10.0  | 3450  | 0.2468          |
| 0.2832        | 11.0  | 3795  | 0.2537          |
| 0.2646        | 12.0  | 4140  | 0.2437          |
| 0.2656        | 13.0  | 4485  | 0.2404          |
| 0.2782        | 14.0  | 4830  | 0.2395          |
| 0.2869        | 15.0  | 5175  | 0.2406          |
| 0.2706        | 16.0  | 5520  | 0.2366          |
| 0.2925        | 17.0  | 5865  | 0.2385          |
| 0.2979        | 18.0  | 6210  | 0.2359          |
| 0.2838        | 19.0  | 6555  | 0.2356          |
| 0.2515        | 20.0  | 6900  | 0.2358          |
| 0.2547        | 21.0  | 7245  | 0.2357          |
| 0.278         | 22.0  | 7590  | 0.2340          |
| 0.2633        | 23.0  | 7935  | 0.2384          |
| 0.2489        | 24.0  | 8280  | 0.2353          |
| 0.272         | 25.0  | 8625  | 0.2331          |
| 0.2607        | 26.0  | 8970  | 0.2331          |
| 0.2419        | 27.0  | 9315  | 0.2344          |
| 0.2888        | 28.0  | 9660  | 0.2335          |
| 0.2876        | 29.0  | 10005 | 0.2334          |
| 0.2677        | 30.0  | 10350 | 0.2334          |


### Framework versions

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