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RichardErkhov/
statking_-_zephyr-7b-sft-full-orpo-gguf

Name: statking_-_zephyr-7b-sft-full-orpo-gguf
Availability: InStock

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zephyr-7b-sft-full-orpo - GGUF

Model creator: https://huggingface.co/statking/
Original model: https://huggingface.co/statking/zephyr-7b-sft-full-orpo/

Name	Quant method	Size
zephyr-7b-sft-full-orpo.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-sft-full-orpo.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-sft-full-orpo.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-sft-full-orpo.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-sft-full-orpo.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-sft-full-orpo.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-sft-full-orpo.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-sft-full-orpo.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-sft-full-orpo.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-sft-full-orpo.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-sft-full-orpo.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-sft-full-orpo.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-sft-full-orpo.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-sft-full-orpo.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-sft-full-orpo.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-sft-full-orpo.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-sft-full-orpo.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-sft-full-orpo.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-sft-full-orpo.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-sft-full-orpo.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-sft-full-orpo.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-sft-full-orpo.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:

alignment-handbook
trl
orpo
generated_from_trainer
trl
orpo
alignment-handbook
generated_from_trainer datasets:
HuggingFaceH4/ultrafeedback_binarized model-index:
name: zephyr-7b-sft-full-orpo results: []

Visualize in Weights & Biases

zephyr-7b-sft-full-orpo

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.4701
Rewards/chosen: -0.0364
Rewards/rejected: -0.0499
Rewards/accuracies: 0.6587
Rewards/margins: 0.0135
Logps/rejected: -0.9978
Logps/chosen: -0.7282
Logits/rejected: -2.9263
Logits/chosen: -2.9434
Nll Loss: 0.4357
Log Odds Ratio: -0.6093
Log Odds Chosen: 0.4456

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: 7e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 100
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen	Nll Loss	Log Odds Ratio	Log Odds Chosen
0.5226	0.1049	100	0.5280	-0.0386	-0.0472	0.6329	0.0086	-0.9448	-0.7728	-2.7583	-2.7860	0.4953	-0.6326	0.2873
0.5074	0.2098	200	0.5134	-0.0381	-0.0478	0.6409	0.0098	-0.9566	-0.7612	-2.6736	-2.7002	0.4774	-0.6357	0.3190
0.5265	0.3146	300	0.5012	-0.0379	-0.0479	0.6329	0.0099	-0.9572	-0.7588	-2.7317	-2.7594	0.4653	-0.6374	0.3278
0.5194	0.4195	400	0.4912	-0.0371	-0.0478	0.6429	0.0107	-0.9559	-0.7417	-2.6640	-2.6974	0.4560	-0.6284	0.3607
0.5008	0.5244	500	0.4847	-0.0373	-0.0489	0.6508	0.0117	-0.9786	-0.7455	-2.5957	-2.6294	0.4499	-0.6209	0.3873
0.4725	0.6293	600	0.4794	-0.0362	-0.0470	0.6349	0.0107	-0.9394	-0.7248	-2.6147	-2.6477	0.4435	-0.6320	0.3567
0.4875	0.7341	700	0.4767	-0.0368	-0.0498	0.6409	0.0129	-0.9955	-0.7365	-2.6910	-2.7213	0.4416	-0.6158	0.4180
0.4796	0.8390	800	0.4740	-0.0371	-0.0508	0.6508	0.0137	-1.0162	-0.7416	-2.7913	-2.8114	0.4396	-0.6169	0.4363
0.4851	0.9439	900	0.4714	-0.0357	-0.0466	0.6528	0.0109	-0.9324	-0.7143	-2.9543	-2.9692	0.4361	-0.6245	0.3669

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

RichardErkhov/statking_-_zephyr-7b-sft-full-orpo-gguf

Original model description:

zephyr-7b-sft-full-orpo

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
statking_-_zephyr-7b-sft-full-orpo-gguf