metadata

license: apache-2.0
base_model: allenai/OLMo-1B-hf
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - allenai/tulu-v2-sft-mixture
model-index:
  - name: OLMo-1B-SFT-hf
    results: []

OLMo-1B-SFT-hf

This model is a fine-tuned version of allenai/OLMo-1B-hf on the allenai/tulu-v2-sft-mixture dataset. It achieves the following results on the evaluation set:

Loss: 0.8224

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: 8
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1754	0.9992	1236	1.0556
0.9628	1.9993	2473	0.8751
0.801	2.9977	3708	0.8224

Framework versions

Transformers 4.40.0
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.19.1