---
base_model: MingZhong/DialogLED-base-16384
tags:
- generated_from_trainer
model-index:
- name: MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned
  results: []
datasets:
- knkarthick/dialogsum
---

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# MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned

The model is created as a part of the project: linkwillbeaddedlater.

This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on the dialogsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2116

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4631        | 0.9   | 175  | 1.4061          |
| 1.3229        | 1.8   | 350  | 1.2513          |
| 1.15          | 2.7   | 525  | 1.2116          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2