---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_Teached_Bart_FromScratch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLM_Teached_Bart_FromScratch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7504
- Rouge1: 0.3746
- Rouge2: 0.1776
- Rougel: 0.3165
- Rougelsum: 0.3164
- Gen Len: 19.9727

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.0692        | 1.0   | 625  | 1.7369          | 0.3826 | 0.1796 | 0.3166 | 0.3164    | 19.9691 |
| 0.9466        | 2.0   | 1250 | 1.7602          | 0.3738 | 0.1772 | 0.3142 | 0.3143    | 20.0    |
| 0.8898        | 3.0   | 1875 | 1.7657          | 0.3778 | 0.1751 | 0.3156 | 0.3157    | 19.9727 |
| 0.8871        | 4.0   | 2500 | 1.7504          | 0.3746 | 0.1776 | 0.3165 | 0.3164    | 19.9727 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0