---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/long-t5-tglobal-xl
metrics:
- rouge
model-index:
- name: LongT5-XLarge-NSPCC
  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. -->

# LongT5-XLarge-NSPCC

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6843
- Rouge1: 0.5138
- Rouge2: 0.2297
- Rougel: 0.2999
- Rougelsum: 0.2995
- Gen Len: 337.6809

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| 3.6911        | 0.9960 | 188  | 0.7292          | 0.4665 | 0.1826 | 0.2611 | 0.2611    | 360.7021 |
| 0.8701        | 1.9974 | 377  | 0.6967          | 0.4886 | 0.2073 | 0.2805 | 0.2799    | 365.3298 |
| 0.7849        | 2.9987 | 566  | 0.6808          | 0.5116 | 0.2302 | 0.2995 | 0.2997    | 332.3191 |
| 0.7769        | 3.9841 | 752  | 0.6843          | 0.5138 | 0.2297 | 0.2999 | 0.2995    | 337.6809 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1