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-inter_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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# SChem5Labels-google-t5-v1_1-large-inter_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: 0.6406

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.8683       | 1.0   | 25   | 25.1590         |
| 19.7799       | 2.0   | 50   | 23.9270         |
| 19.1307       | 3.0   | 75   | 21.3990         |
| 16.8532       | 4.0   | 100  | 15.1632         |
| 14.9609       | 5.0   | 125  | 10.2629         |
| 12.0411       | 6.0   | 150  | 9.3831          |
| 10.5929       | 7.0   | 175  | 8.9785          |
| 8.6913        | 8.0   | 200  | 8.6269          |
| 8.2386        | 9.0   | 225  | 8.5322          |
| 8.0031        | 10.0  | 250  | 8.4694          |
| 7.9213        | 11.0  | 275  | 8.3951          |
| 7.9263        | 12.0  | 300  | 8.3057          |
| 7.742         | 13.0  | 325  | 8.1182          |
| 7.5849        | 14.0  | 350  | 7.8158          |
| 7.2832        | 15.0  | 375  | 7.5074          |
| 7.1925        | 16.0  | 400  | 7.3238          |
| 7.0363        | 17.0  | 425  | 7.2074          |
| 6.8445        | 18.0  | 450  | 7.1410          |
| 6.8735        | 19.0  | 475  | 7.0903          |
| 6.7682        | 20.0  | 500  | 7.0306          |
| 6.614         | 21.0  | 525  | 6.9683          |
| 5.6722        | 22.0  | 550  | 3.0775          |
| 0.8621        | 23.0  | 575  | 0.5995          |
| 0.6441        | 24.0  | 600  | 0.5709          |
| 0.6166        | 25.0  | 625  | 0.5626          |
| 0.5931        | 26.0  | 650  | 0.5625          |
| 0.5923        | 27.0  | 675  | 0.5618          |
| 0.588         | 28.0  | 700  | 0.5583          |
| 0.5982        | 29.0  | 725  | 0.5563          |
| 0.5837        | 30.0  | 750  | 0.5538          |
| 0.5999        | 31.0  | 775  | 0.5536          |
| 0.5921        | 32.0  | 800  | 0.5521          |
| 0.5878        | 33.0  | 825  | 0.5536          |
| 0.5838        | 34.0  | 850  | 0.5534          |
| 0.5844        | 35.0  | 875  | 0.5500          |
| 0.5853        | 36.0  | 900  | 0.5492          |
| 0.5919        | 37.0  | 925  | 0.5481          |
| 0.5842        | 38.0  | 950  | 0.5512          |
| 0.5883        | 39.0  | 975  | 0.5506          |
| 0.5879        | 40.0  | 1000 | 0.5486          |
| 0.5811        | 41.0  | 1025 | 0.5505          |
| 0.5872        | 42.0  | 1050 | 0.5529          |


### Framework versions

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