metadata

license: bigscience-bloom-rail-1.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
  - name: Model-text-generation
    results: []

Model-text-generation

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.6650

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: 1.41e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.6573	1.0	984	3.6703
3.6659	2.0	1968	3.6650

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0