transformers pytorch tensorboard bloom text-generation generated_from_trainer dataset:cnn_dailymail license:bigscience-bloom-rail-1.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- cnn_dailymail
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-ft-summarization-cnn
  results: []
---

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# bloom-560m-ft-summarization-cnn

This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the [cnn_dailymail](hf.co/datasets/cnn_dailymail) dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6957
- eval_runtime: 587.637
- eval_samples_per_second: 10.398
- eval_steps_per_second: 5.199
- epoch: 0.97
- step: 130000

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

### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
