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-intra_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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# ghc-google-t5-v1_1-large-intra_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: 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.0859        | 1.0   | 689   | 6.1514          |
| 5.0336        | 2.0   | 1378  | 5.3269          |
| 0.2999        | 3.0   | 2067  | 0.2688          |
| 0.2743        | 4.0   | 2756  | 0.2625          |
| 0.2938        | 5.0   | 3445  | 0.2641          |
| 0.2575        | 6.0   | 4134  | 0.2568          |
| 0.2648        | 7.0   | 4823  | 0.2530          |
| 0.2687        | 8.0   | 5512  | 0.2512          |
| 0.2444        | 9.0   | 6201  | 0.2498          |
| 0.2562        | 10.0  | 6890  | 0.2489          |
| 0.2606        | 11.0  | 7579  | 0.2467          |
| 0.2592        | 12.0  | 8268  | 0.2466          |
| 0.2316        | 13.0  | 8957  | 0.2470          |
| 0.2544        | 14.0  | 9646  | 0.2454          |
| 0.2644        | 15.0  | 10335 | 0.2449          |
| 0.2505        | 16.0  | 11024 | 0.2449          |
| 0.2485        | 17.0  | 11713 | 0.2449          |
| 0.2312        | 18.0  | 12402 | 0.2449          |


### Framework versions

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