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: SChem5Labels-google-t5-v1_1-large-intra_model-shuffle-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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# SChem5Labels-google-t5-v1_1-large-intra_model-shuffle-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: 1.1455

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.1373       | 1.0   | 25   | 23.9902         |
| 19.3278       | 2.0   | 50   | 23.0330         |
| 18.61         | 3.0   | 75   | 19.3564         |
| 16.6643       | 4.0   | 100  | 12.7192         |
| 15.008        | 5.0   | 125  | 10.2820         |
| 12.6828       | 6.0   | 150  | 9.4364          |
| 11.5627       | 7.0   | 175  | 9.0709          |
| 9.5974        | 8.0   | 200  | 8.8406          |
| 8.7995        | 9.0   | 225  | 8.5809          |
| 8.1331        | 10.0  | 250  | 8.4198          |
| 7.9315        | 11.0  | 275  | 8.3298          |
| 7.8545        | 12.0  | 300  | 8.2475          |
| 7.7219        | 13.0  | 325  | 8.1188          |
| 7.4693        | 14.0  | 350  | 7.8444          |
| 7.3416        | 15.0  | 375  | 7.5661          |
| 6.958         | 16.0  | 400  | 7.3479          |
| 6.9627        | 17.0  | 425  | 7.2154          |
| 6.9852        | 18.0  | 450  | 7.1438          |
| 6.7137        | 19.0  | 475  | 7.0960          |
| 6.7186        | 20.0  | 500  | 7.0620          |
| 6.704         | 21.0  | 525  | 7.0248          |
| 6.6092        | 22.0  | 550  | 6.9869          |
| 6.665         | 23.0  | 575  | 6.8663          |
| 1.2056        | 24.0  | 600  | 1.1299          |
| 1.1741        | 25.0  | 625  | 1.1157          |
| 1.1548        | 26.0  | 650  | 1.1137          |
| 1.1387        | 27.0  | 675  | 1.1143          |
| 1.1437        | 28.0  | 700  | 1.1079          |
| 1.136         | 29.0  | 725  | 1.1064          |
| 1.1503        | 30.0  | 750  | 1.1101          |
| 1.1428        | 31.0  | 775  | 1.1096          |
| 1.1365        | 32.0  | 800  | 1.1120          |
| 1.151         | 33.0  | 825  | 1.1133          |
| 1.1469        | 34.0  | 850  | 1.1090          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
