---
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
model-index:
- name: flan-t5-xl-absa-rest
  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-xl-absa-rest

This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1525

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4491        | 0.9   | 200  | 0.6438          |
| 0.5032        | 1.8   | 400  | 0.2452          |
| 0.3266        | 2.7   | 600  | 0.2064          |
| 0.2723        | 3.6   | 800  | 0.1891          |
| 0.2546        | 4.5   | 1000 | 0.1692          |
| 0.2286        | 5.41  | 1200 | 0.1697          |
| 0.2253        | 6.31  | 1400 | 0.1638          |
| 0.2076        | 7.21  | 1600 | 0.1586          |
| 0.2036        | 8.11  | 1800 | 0.1544          |
| 0.1982        | 9.01  | 2000 | 0.1524          |
| 0.1952        | 9.91  | 2200 | 0.1525          |


### Framework versions

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