---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: ca-finetuned-flan-t5-large
  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. -->

# ca-finetuned-flan-t5-large

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4606

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3366        | 1.0   | 34   | 2.7448          |
| 1.8401        | 2.0   | 68   | 2.8152          |
| 1.1512        | 3.0   | 102  | 2.9234          |
| 0.697         | 4.0   | 136  | 3.3972          |
| 0.4054        | 5.0   | 170  | 3.7261          |
| 0.2705        | 6.0   | 204  | 4.0965          |
| 0.2058        | 7.0   | 238  | 4.2119          |
| 0.121         | 8.0   | 272  | 5.1648          |
| 0.0932        | 9.0   | 306  | 5.5543          |
| 0.0755        | 10.0  | 340  | 5.4606          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2