---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
metrics:
- rouge
model-index:
- name: absa_10_domains_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. -->

# absa_10_domains_large

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: nan
- Rouge1: 0.0
- Rouge2: 0.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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 | Rouge1 | Rouge2 |
|:---------------------------------------:|:------:|:----:|:---------------:|:------:|:------:|
| 9447968943581024006218927935848448.0000 | 0.9981 | 300  | nan             | 0.0    | 0.0    |
| 0.0                                     | 1.9996 | 601  | nan             | 0.0    | 0.0    |
| 0.0                                     | 2.9977 | 901  | nan             | 0.0    | 0.0    |
| 0.0                                     | 3.9992 | 1202 | nan             | 0.0    | 0.0    |
| 0.0                                     | 4.9973 | 1502 | nan             | 0.0    | 0.0    |
| 0.0                                     | 5.9988 | 1803 | nan             | 0.0    | 0.0    |
| 0.0                                     | 6.9969 | 2103 | nan             | 0.0    | 0.0    |
| 0.0                                     | 7.9983 | 2404 | nan             | 0.0    | 0.0    |
| 0.0                                     | 8.9998 | 2705 | nan             | 0.0    | 0.0    |
| 0.0                                     | 9.9813 | 3000 | nan             | 0.0    | 0.0    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1