transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer dataset:beer_reviews_label_drift_neg license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- beer_reviews_label_drift_neg
license: apache-2.0
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-beer-en
  results: []
---

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# mt5-small-finetuned-beer-en

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the beer_reviews_label_drift_neg dataset.
It achieves the following results on the evaluation set:
- eval_loss: 16.1352
- eval_rouge1: 3.6749
- eval_rouge2: 0.0
- eval_rougeL: 3.6749
- eval_rougeLsum: 3.6232
- eval_runtime: 60.7305
- eval_samples_per_second: 1.136
- eval_steps_per_second: 0.296
- step: 0

## 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: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
