---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
widget:
- text: "<s>IDENTIFICATION DIVISION.\n PROGRAM-ID. HELLO.\n\nDATA DIVISION.\n WORKING-STORAGE\
    \ SECTION.\n 01 WS-NAME PIC A(30).\n 01 WS-ID PIC 9(5) VALUE 12345.\n\n\nPROCEDURE\
    \ DIVISION"
base_model: bigscience/bloom-560m
model-index:
- name: bloom-560m-finetuned-the-stack-cobol
  results: []
---

<!-- 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-the-stack-cobol

This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0341

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7749        | 1.31  | 1000 | 1.0341          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.5.1
- Tokenizers 0.13.0