---
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-frequency-model_annots_str
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ghc-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: 0.3108

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.3989        | 1.0   | 689  | 5.7253          |
| 0.3833        | 2.0   | 1378 | 0.3076          |
| 0.3352        | 3.0   | 2067 | 0.2992          |
| 0.3233        | 4.0   | 2756 | 0.2986          |
| 0.3203        | 5.0   | 3445 | 0.2983          |
| 0.3409        | 6.0   | 4134 | 0.3035          |
| 0.3078        | 7.0   | 4823 | 0.2952          |
| 0.3021        | 8.0   | 5512 | 0.2973          |
| 0.3136        | 9.0   | 6201 | 0.2968          |
| 0.3297        | 10.0  | 6890 | 0.2979          |


### Framework versions

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