metadata

license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - ucla-cmllab/WizardLM_evol_instruct_V2_100k-chat-format
model-index:
  - name: tinyllama-sft-wizardlm_evol_instruct_v2-full
    results: []

tinyllama-sft-wizardlm_evol_instruct_v2-full

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the ucla-cmllab/WizardLM_evol_instruct_V2_100k-chat-format dataset. It achieves the following results on the evaluation set:

Loss: 0.7234

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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.735	1.0	781	0.7234

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2