metadata

license: other
base_model: 01-ai/Yi-34B-Chat
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - HuggingFaceH4/SystemChat
model-index:
  - name: yi-34b-v0.1
    results: []

yi-34b-v0.1

This model is a fine-tuned version of 01-ai/Yi-34B-Chat on the HuggingFaceH4/SystemChat dataset. It achieves the following results on the evaluation set:

Loss: 0.8262

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.6791	0.99	63	0.6753
0.4164	1.99	127	0.7020
0.2065	2.96	189	0.8262

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2