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-shuffle-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-shuffle-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: 2.3184

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.749        | 1.0   | 25   | 23.9108         |
| 19.7523       | 2.0   | 50   | 22.3687         |
| 18.7945       | 3.0   | 75   | 18.8753         |
| 16.0524       | 4.0   | 100  | 12.6226         |
| 14.3498       | 5.0   | 125  | 9.9242          |
| 11.1053       | 6.0   | 150  | 9.2417          |
| 10.0075       | 7.0   | 175  | 9.1269          |
| 8.7375        | 8.0   | 200  | 8.9141          |
| 8.4414        | 9.0   | 225  | 8.8544          |
| 8.2513        | 10.0  | 250  | 8.8037          |
| 8.2066        | 11.0  | 275  | 8.7007          |
| 8.1662        | 12.0  | 300  | 8.5217          |
| 7.8864        | 13.0  | 325  | 8.2216          |
| 7.7552        | 14.0  | 350  | 7.9527          |
| 7.5072        | 15.0  | 375  | 7.7595          |
| 7.4867        | 16.0  | 400  | 7.6285          |
| 7.3527        | 17.0  | 425  | 7.5356          |
| 7.1715        | 18.0  | 450  | 7.4794          |
| 7.1983        | 19.0  | 475  | 7.4331          |
| 7.1102        | 20.0  | 500  | 7.3796          |
| 6.9301        | 21.0  | 525  | 5.8444          |
| 1.0577        | 22.0  | 550  | 0.9835          |
| 1.0083        | 23.0  | 575  | 0.9668          |
| 1.0127        | 24.0  | 600  | 0.9668          |
| 0.9964        | 25.0  | 625  | 0.9711          |
| 0.9749        | 26.0  | 650  | 0.9647          |
| 0.9807        | 27.0  | 675  | 0.9651          |
| 0.9811        | 28.0  | 700  | 0.9645          |
| 0.9935        | 29.0  | 725  | 0.9646          |
| 0.9805        | 30.0  | 750  | 0.9618          |
| 1.0088        | 31.0  | 775  | 0.9643          |
| 0.9957        | 32.0  | 800  | 0.9629          |
| 0.9886        | 33.0  | 825  | 0.9631          |
| 0.986         | 34.0  | 850  | 0.9624          |
| 0.9826        | 35.0  | 875  | 0.9633          |


### Framework versions

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