---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bloom560mclassification_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bloom560mclassification_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: 1.0221
- F1: 0.6128

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 115  | 1.3195          | 0.4817 |
| No log        | 2.0   | 230  | 1.0517          | 0.5894 |
| No log        | 3.0   | 345  | 1.0922          | 0.5854 |
| No log        | 4.0   | 460  | 1.0221          | 0.6128 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1