---
base_model: /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_bp_5/checkpoint-680
tags:
- generated_from_trainer
datasets:
- learn3r/gov_report_bp
model-index:
- name: longt5_xl_gov_bp_10
  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_xl_gov_bp_10

This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_bp_5/checkpoint-680](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_bp_5/checkpoint-680) on the learn3r/gov_report_bp dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2563

## 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: 0.001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5843        | 1.0   | 136  | 1.2563          |
| 0.4908        | 1.99  | 272  | 1.2935          |
| 0.4059        | 3.0   | 409  | 1.4195          |
| 0.3207        | 4.0   | 545  | 1.5143          |
| 0.2705        | 4.99  | 680  | 1.5505          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1