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RichardErkhov/
taicheng_-_zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0-gguf

Name: taicheng_-_zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0 - GGUF

Model creator: https://huggingface.co/taicheng/
Original model: https://huggingface.co/taicheng/zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0/

Name	Quant method	Size
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 base_model: alignment-handbook/zephyr-7b-sft-full tags:

alignment-handbook
trl
dpo
generated_from_trainer
trl
dpo
generated_from_trainer datasets:
HuggingFaceH4/ultrafeedback_binarized model-index:
name: zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0 results: []

zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.8726
Rewards/chosen: -0.1874
Rewards/rejected: -1.8304
Rewards/accuracies: 0.375
Rewards/margins: 1.6430
Logps/rejected: -84.0806
Logps/chosen: -74.7935
Logits/rejected: -2.6285
Logits/chosen: -2.6453

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: 3e-07
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: polynomial
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6629	0.3484	100	0.6374	0.7586	0.3997	0.3452	0.3589	-80.4837	-73.2678	-2.5455	-2.5615
0.7044	0.6969	200	0.6785	0.6115	0.1187	0.3353	0.4927	-80.9369	-73.5050	-2.5325	-2.5487
0.3945	1.0453	300	0.6975	0.7667	0.1071	0.3552	0.6597	-80.9557	-73.2546	-2.5596	-2.5753
0.3859	1.3937	400	0.7396	1.4671	0.5658	0.3571	0.9013	-80.2158	-72.1250	-2.5834	-2.5995
0.3893	1.7422	500	0.7904	-0.4771	-1.4060	0.3492	0.9290	-83.3962	-75.2607	-2.6499	-2.6659
0.3749	2.0906	600	0.8125	0.5611	-0.4847	0.3631	1.0458	-81.9100	-73.5862	-2.6159	-2.6321
0.3662	2.4390	700	0.8412	-0.6104	-2.0869	0.3651	1.4765	-84.4944	-75.4757	-2.5941	-2.6112
0.3615	2.7875	800	0.8766	-0.9523	-2.5666	0.3611	1.6143	-85.2680	-76.0272	-2.6367	-2.6538

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/taicheng_-_zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0-gguf

Original model description:

zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
taicheng_-_zephyr-7b-align-scan-3e-07-0.62-polynomial-3.0-gguf