---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-absa-multitask-laptops
  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-absa-multitask-laptops

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: 0.0759

## 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: 5e-05
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4723        | 0.32  | 200  | 0.2344          |
| 0.2411        | 0.63  | 400  | 0.1743          |
| 0.1895        | 0.95  | 600  | 0.1406          |
| 0.1308        | 1.26  | 800  | 0.1151          |
| 0.1162        | 1.58  | 1000 | 0.1028          |
| 0.1034        | 1.9   | 1200 | 0.1007          |
| 0.0829        | 2.21  | 1400 | 0.0837          |
| 0.0649        | 2.53  | 1600 | 0.0775          |
| 0.063         | 2.84  | 1800 | 0.0744          |
| 0.0541        | 3.16  | 2000 | 0.0771          |
| 0.0429        | 3.48  | 2200 | 0.0785          |
| 0.0435        | 3.79  | 2400 | 0.0759          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2