transformers safetensors bloom text-generation generated_from_trainer base_model:bigscience/bloomz-560m license:bigscience-bloom-rail-1.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-560m
tags:
- generated_from_trainer
model-index:
- name: bloomz-560m_fine_lr5e-05_bs4_epoch20_wd0.01
  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. -->

# bloomz-560m_fine_lr5e-05_bs4_epoch20_wd0.01

This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.2503

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6412        | 1.0   | 157  | 3.6601          |
| 2.5683        | 2.0   | 314  | 4.5891          |
| 1.8204        | 3.0   | 471  | 5.0154          |
| 2.5022        | 4.0   | 628  | 5.6442          |
| 1.6245        | 5.0   | 785  | 6.2936          |
| 0.8665        | 6.0   | 942  | 6.3147          |
| 0.6814        | 7.0   | 1099 | 6.6231          |
| 0.4828        | 8.0   | 1256 | 6.6090          |
| 0.4391        | 9.0   | 1413 | 6.3674          |
| 0.3401        | 10.0  | 1570 | 7.1139          |
| 0.3278        | 11.0  | 1727 | 7.1027          |
| 0.289         | 12.0  | 1884 | 7.4807          |
| 0.2523        | 13.0  | 2041 | 7.6643          |
| 0.2347        | 14.0  | 2198 | 8.2786          |
| 0.2127        | 15.0  | 2355 | 8.5955          |
| 0.2141        | 16.0  | 2512 | 9.5416          |
| 0.1931        | 17.0  | 2669 | 9.5192          |
| 0.1823        | 18.0  | 2826 | 10.4644         |
| 0.1702        | 19.0  | 2983 | 10.9266         |
| 0.1603        | 20.0  | 3140 | 11.2503         |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
