---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-cdn_law-finetuned-cdn_law_6epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bloom-560m-finetuned-cdn_law-finetuned-cdn_law_6epochs

This model is a fine-tuned version of [simonosgoode/bloom-560m-finetuned-cdn_law](https://huggingface.co/simonosgoode/bloom-560m-finetuned-cdn_law) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3047

## 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: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6631        | 1.0   | 8298  | 2.0524          |
| 1.4265        | 2.0   | 16596 | 2.1195          |
| 1.1903        | 3.0   | 24894 | 2.3047          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.0
- Tokenizers 0.13.1