---
library_name: peft
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-ae_adapter_v2
  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. -->

# idt5-base-ae_adapter_v2

This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6189
- Rouge1: 0.2865
- Rouge2: 0.1723
- Rougel: 0.2835
- Rougelsum: 0.2833
- Bleu: 0.1327

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 2.3292        | 1.0   | 3235  | 1.8863          | 0.2475 | 0.1449 | 0.2451 | 0.2454    | 0.1103 |
| 2.0895        | 2.0   | 6470  | 1.6991          | 0.2761 | 0.1678 | 0.2725 | 0.2727    | 0.1388 |
| 1.9092        | 3.0   | 9705  | 1.6346          | 0.2798 | 0.1671 | 0.2773 | 0.2775    | 0.1278 |
| 1.9178        | 4.0   | 12940 | 1.6246          | 0.2839 | 0.1705 | 0.2813 | 0.2809    | 0.1227 |
| 1.9038        | 5.0   | 16175 | 1.6189          | 0.2865 | 0.1723 | 0.2835 | 0.2833    | 0.1327 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1