---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-p-l-akk-en-20241023-233318
  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. -->

# flan-t5-large-p-l-akk-en-20241023-233318

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 16.5796

## 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: 4e-05
- train_batch_size: 112
- eval_batch_size: 112
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.7899        | 0.2417 | 5000  | 0.7394          |
| 0.5793        | 0.4835 | 10000 | 0.5446          |
| 1.3046        | 0.7252 | 15000 | 1.2517          |
| 1.3069        | 0.9670 | 20000 | 1.2526          |
| 1.5098        | 1.2087 | 25000 | 1.4190          |
| 15.0261       | 1.4505 | 30000 | 7.3843          |
| 22.769        | 1.6922 | 35000 | 16.5796         |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.6.0.dev20241022+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1