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-dataset-frequency-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-dataset-frequency-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: nan

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.7769       | 1.0   | 25   | 24.1676         |
| 19.3503       | 2.0   | 50   | 20.2926         |
| 17.4487       | 3.0   | 75   | 12.6689         |
| 14.6317       | 4.0   | 100  | 10.4484         |
| 12.7323       | 5.0   | 125  | 9.5200          |
| 10.6392       | 6.0   | 150  | 9.2853          |
| 9.777         | 7.0   | 175  | 9.0216          |
| 8.5266        | 8.0   | 200  | 8.8159          |
| 8.4237        | 9.0   | 225  | 8.7335          |
| 8.1749        | 10.0  | 250  | 8.6666          |
| 8.1341        | 11.0  | 275  | 8.5495          |
| 8.1705        | 12.0  | 300  | 8.4080          |
| 7.9849        | 13.0  | 325  | 8.1718          |
| 7.5745        | 14.0  | 350  | 7.8604          |
| 7.4689        | 15.0  | 375  | 7.6465          |
| 7.2368        | 16.0  | 400  | 7.4584          |
| 7.1852        | 17.0  | 425  | 7.3699          |
| 6.9957        | 18.0  | 450  | 7.3086          |
| 6.8921        | 19.0  | 475  | 7.2569          |
| 7.0036        | 20.0  | 500  | 7.2094          |
| 6.8411        | 21.0  | 525  | 7.1594          |
| 6.6867        | 22.0  | 550  | 7.0519          |
| 1.1614        | 23.0  | 575  | 0.6432          |
| 0.6204        | 24.0  | 600  | 0.5628          |
| 0.6131        | 25.0  | 625  | 0.5761          |
| 0.591         | 26.0  | 650  | 0.5582          |
| 0.5949        | 27.0  | 675  | 0.5605          |
| 0.6009        | 28.0  | 700  | 0.5616          |
| 0.5916        | 29.0  | 725  | 0.5660          |
| 0.5927        | 30.0  | 750  | 0.5571          |
| 0.6041        | 31.0  | 775  | 0.5556          |
| 0.5988        | 32.0  | 800  | 0.5530          |
| 0.5894        | 33.0  | 825  | 0.5822          |
| 0.5899        | 34.0  | 850  | 0.5548          |
| 0.5813        | 35.0  | 875  | 0.5542          |
| 0.5901        | 36.0  | 900  | 0.5518          |
| 0.595         | 37.0  | 925  | 0.5502          |
| 0.585         | 38.0  | 950  | 0.5515          |
| 0.5837        | 39.0  | 975  | 0.5525          |
| 0.5834        | 40.0  | 1000 | 0.5499          |
| 0.5858        | 41.0  | 1025 | 0.5490          |
| 0.5892        | 42.0  | 1050 | 0.5498          |
| 0.5814        | 43.0  | 1075 | 0.5478          |
| 0.5779        | 44.0  | 1100 | 0.5492          |
| 0.5955        | 45.0  | 1125 | 0.5496          |
| 0.5711        | 46.0  | 1150 | 0.5535          |
| 0.5795        | 47.0  | 1175 | 0.5511          |
| 0.5783        | 48.0  | 1200 | 0.5527          |


### Framework versions

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