---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom3b-finetuned-pdf
  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. -->

# bloom560m-finetuned-pdf

This model is a fine-tuned version of [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2944

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8015        | 0.89  | 400  | 3.2172          |
| 2.5565        | 1.77  | 800  | 3.2420          |
| 2.3949        | 2.66  | 1200 | 3.2944          |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.1.0.dev20230429+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3