metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: hishab/titulm-1b-enbn-v1
model-index:
  - name: mistral_finetuned
    results: []

mistral_finetuned

This model is a fine-tuned version of hishab/titulm-1b-enbn-v1 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 2.1066
eval_runtime: 18.7031
eval_samples_per_second: 5.347
eval_steps_per_second: 2.673
epoch: 0.0
step: 100

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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
training_steps: 10000

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2