---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
- generated_from_trainer
model-index:
- name: finetuned-model
  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. -->

# finetuned-model

This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.8626

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 7.9789          |
| No log        | 2.0   | 12   | 7.9410          |
| No log        | 3.0   | 18   | 7.9208          |
| No log        | 4.0   | 24   | 7.9045          |
| No log        | 5.0   | 30   | 7.8931          |
| No log        | 6.0   | 36   | 7.8828          |
| No log        | 7.0   | 42   | 7.8742          |
| No log        | 8.0   | 48   | 7.8679          |
| No log        | 9.0   | 54   | 7.8640          |
| No log        | 10.0  | 60   | 7.8626          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3