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-frequency-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-inter_model-frequency-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: 0.9844

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.3817       | 1.0   | 25   | 23.8120         |
| 19.4374       | 2.0   | 50   | 21.8918         |
| 18.745        | 3.0   | 75   | 19.3959         |
| 16.896        | 4.0   | 100  | 15.4970         |
| 15.3045       | 5.0   | 125  | 11.5374         |
| 12.9955       | 6.0   | 150  | 9.6467          |
| 11.2112       | 7.0   | 175  | 8.9925          |
| 9.4851        | 8.0   | 200  | 8.7994          |
| 8.7487        | 9.0   | 225  | 8.5320          |
| 8.1197        | 10.0  | 250  | 8.3570          |
| 7.9164        | 11.0  | 275  | 8.2662          |
| 7.7789        | 12.0  | 300  | 8.1800          |
| 7.6671        | 13.0  | 325  | 8.0987          |
| 7.5107        | 14.0  | 350  | 7.9659          |
| 7.457         | 15.0  | 375  | 7.6850          |
| 7.1712        | 16.0  | 400  | 7.3914          |
| 6.9462        | 17.0  | 425  | 7.2019          |
| 6.8109        | 18.0  | 450  | 7.0657          |
| 6.7403        | 19.0  | 475  | 6.9778          |
| 6.5766        | 20.0  | 500  | 6.9288          |
| 6.505         | 21.0  | 525  | 6.8702          |
| 6.5148        | 22.0  | 550  | 6.8175          |
| 6.541         | 23.0  | 575  | 6.7619          |
| 4.3898        | 24.0  | 600  | 1.0917          |
| 1.0874        | 25.0  | 625  | 0.7681          |
| 0.8058        | 26.0  | 650  | 0.7295          |
| 0.7847        | 27.0  | 675  | 0.7244          |
| 0.7779        | 28.0  | 700  | 0.7195          |
| 0.7741        | 29.0  | 725  | 0.7205          |
| 0.7606        | 30.0  | 750  | 0.7222          |
| 0.7613        | 31.0  | 775  | 0.7189          |
| 0.7676        | 32.0  | 800  | 0.7119          |
| 0.7547        | 33.0  | 825  | 0.7138          |
| 0.7433        | 34.0  | 850  | 0.7148          |
| 0.7729        | 35.0  | 875  | 0.7202          |


### Framework versions

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