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: ghc-google-t5-v1_1-large-inter_model-dataset-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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# ghc-google-t5-v1_1-large-inter_model-dataset-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: 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.1567        | 1.0   | 345  | 6.3882          |
| 5.2542        | 2.0   | 690  | 5.3541          |
| 0.3219        | 3.0   | 1035 | 0.2819          |
| 0.3006        | 4.0   | 1380 | 0.2800          |
| 0.3303        | 5.0   | 1725 | 0.2842          |
| 0.3           | 6.0   | 2070 | 0.2796          |
| 0.2916        | 7.0   | 2415 | 0.2780          |
| 0.2855        | 8.0   | 2760 | 0.2800          |
| 0.3112        | 9.0   | 3105 | 0.2806          |
| 0.3063        | 10.0  | 3450 | 0.2786          |
| 0.2703        | 11.0  | 3795 | 0.2793          |
| 0.2872        | 12.0  | 4140 | 0.2792          |


### Framework versions

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