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chchen/
Mistral-7B-Instruct-v0.3-ORPO

Name: Mistral-7B-Instruct-v0.3-ORPO
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.3

adapter

apache-2.0

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Mistral-7B-Instruct-v0.3-ORPO

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the dpo_mix_en dataset. It achieves the following results on the evaluation set:

Loss: 0.8734
Rewards/chosen: -0.0810
Rewards/rejected: -0.1017
Rewards/accuracies: 0.5720
Rewards/margins: 0.0208
Logps/rejected: -1.0175
Logps/chosen: -0.8098
Logits/rejected: -3.1455
Logits/chosen: -3.1171
Sft Loss: 0.8098
Odds Ratio Loss: 0.6360

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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen	Sft Loss	Odds Ratio Loss
0.9464	0.8891	500	0.8919	-0.0828	-0.1031	0.5690	0.0202	-1.0306	-0.8281	-3.1432	-3.1149	0.8281	0.6374
0.8737	1.7782	1000	0.8774	-0.0814	-0.1019	0.5760	0.0205	-1.0186	-0.8136	-3.1431	-3.1139	0.8136	0.6371
0.8923	2.6673	1500	0.8734	-0.0810	-0.1017	0.5720	0.0208	-1.0175	-0.8098	-3.1455	-3.1171	0.8098	0.6360

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

chchen/Mistral-7B-Instruct-v0.3-ORPO

Mistral-7B-Instruct-v0.3-ORPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chchen/
Mistral-7B-Instruct-v0.3-ORPO