BLOOM_VI

xieyang233/BLOOM_VI

BLOOM_VI is a machine learning model from xieyang233. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bigscience-bloom-rail-1.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: bigscience-bloom-rail-1.0
Access: Public
Created: Oct 19, 2023
Updated: Oct 27, 2023
SHA: 1d8c22d0

Base models

bigscience/bloomz-7b1-mt

Spaces

xieyang233/demo

Model card

From the Hugging Face model README

BLOOM_VI

This model is a fine-tuned version of 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

License: bigscience-bloom-rail-1.0
Created: Oct 19, 2023
Updated: Oct 27, 2023