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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- NLP-MINI-PROJECT/rabbi_kook
metrics:
- rouge
model-index:
- name: kook-model-output-dir-2
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. -->
# mt5-small-rabbi-kook
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: 2.7677
- Gen Len: 115.8184
## Model description
Summarization model of fine-tuned mt5-small with Rabbi-Kook paragraphs and summaries.
## Intended uses & limitations
Summarization of Rabbi-Kook style paragraphs.
## 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 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.11.0
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