metadata

license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-560m
tags:
  - generated_from_trainer
model-index:
  - name: bloomz_finetuned_tpicap_model
    results: []

bloomz_finetuned_tpicap_model

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset.

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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.0.0+cu117
Datasets 2.13.0
Tokenizers 0.14.1