---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- NLP-MINI-PROJECT/rabbi_kook
metrics:
- rouge
model-index:
- name: mt_5_small_kook_gen_len_20
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: NLP-MINI-PROJECT/rabbi_kook
      type: NLP-MINI-PROJECT/rabbi_kook
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.0
---

<!-- 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. -->

# mt_5_small_kook_gen_len_20

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the NLP-MINI-PROJECT/rabbi_kook dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7678
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 47.7155

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0