---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-7b1-mt
tags:
- generated_from_trainer
model-index:
- name: BLOOM_VI
  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. -->

# BLOOM_VI

This model is a fine-tuned version of [bigscience/bloomz-7b1-mt](https://huggingface.co/bigscience/bloomz-7b1-mt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2309

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3278        | 0.51  | 200  | 1.3118          |
| 1.2775        | 1.03  | 400  | 1.2715          |
| 1.2464        | 1.54  | 600  | 1.2517          |
| 1.2231        | 2.05  | 800  | 1.2390          |
| 1.2162        | 2.56  | 1000 | 1.2309          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1