safetensors generated_from_trainer base_model:bigscience/bloomz-3b license:bigscience-bloom-rail-1.0 region:us
---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-3b
tags:
- generated_from_trainer
model-index:
- name: HW3_bonus
  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. -->

# HW3_bonus

This model is a fine-tuned version of [bigscience/bloomz-3b](https://huggingface.co/bigscience/bloomz-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1196

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5258        | 0.13  | 10   | 2.4049          |
| 2.1578        | 0.26  | 20   | 2.2568          |
| 2.1059        | 0.38  | 30   | 2.1895          |
| 1.9871        | 0.51  | 40   | 2.1711          |
| 1.9926        | 0.64  | 50   | 2.1389          |
| 1.9699        | 0.77  | 60   | 2.1318          |
| 1.9185        | 0.9   | 70   | 2.1196          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
