---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-common_gen
  results: []
  
datasets:
- common_gen
  
widget:
- text: "<s>Generate a sentence with the following words:\nski, mountain, skier\nSentence:"
- text: "<s>Generate a sentence with the following words:\ndog, bed, play\nSentence:"

inference:
  parameters:
    eos_token_id: 2
    max_length: 200
    
---

<!-- 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. -->

# bloom-560m-finetuned-common_gen

This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the [common_gen](https://huggingface.co/datasets/common_gen) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3937

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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4819        | 0.38  | 100  | 1.4582          |
| 1.2451        | 0.76  | 200  | 1.4247          |
| 1.1016        | 1.14  | 300  | 1.4382          |
| 0.9724        | 1.53  | 400  | 1.4207          |
| 0.9396        | 1.91  | 500  | 1.3949          |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1