metadata

license: apache-2.0
base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
tags:
  - generated_from_trainer
model-index:
  - name: Mistral-Finetuned-DialogSumm
    results: []
datasets:
  - knkarthick/dialogsum
language:
  - en
metrics:
  - bleu
  - accuracy
pipeline_tag: summarization
library_name: peft

Mistral-Finetuned-DialogSumm

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The DialogSumm dataset was used to train the model.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1