HuggingFaceH4/mistral-7b-anthropic

Model

9

stars

5

commits

1

repos using this model

Feb 1, 2024

updated

alignment-handbook
conversational
endpoints_compatible
generated_from_trainer
mistral
safetensors
text-generation
text-generation-inference
transformers
Browse cluster: Fine-tuned Language Model Checkpoints

README

Mistral 7B Constitutional AI

This model is a DPO-aligned version of Mistral 7B on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/cai-conversation-harmless datasets.

It achieves the following results on the evaluation set:

  • Loss: 0.6327
  • Rewards/chosen: -9.8716
  • Rewards/rejected: -14.5465
  • Rewards/accuracies: 0.6725
  • Rewards/margins: 4.6749
  • Logps/rejected: -329.8578
  • Logps/chosen: -294.6768
  • Logits/rejected: -2.1023
  • Logits/chosen: -2.1648

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-07
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 16
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossRewards/chosenRewards/rejectedRewards/accuraciesRewards/marginsLogps/rejectedLogps/chosenLogits/rejectedLogits/chosen
0.68170.021000.68730.01490.00020.51500.0147-184.3912-195.8124-3.1605-3.1560
0.67670.052000.66140.08250.01690.55750.0656-184.2246-195.1362-3.1654-3.1605
0.63280.073000.6246-0.0374-0.21120.58750.1738-186.5047-196.3349-3.1579-3.1529
0.59190.14000.59780.2812-0.06660.61250.3478-185.0590-193.1489-3.1292-3.1243
0.55450.125000.58000.1742-0.28100.62750.4552-187.2035-194.2191-3.0819-3.0788
0.59260.146000.55990.2410-0.30760.64250.5487-187.4693-193.5507-3.0601-3.0597
0.53260.177000.5385-0.2501-0.96980.64000.7197-194.0914-198.4624-2.9076-2.9090
0.51260.198000.5238-0.3616-1.17830.65250.8167-196.1764-199.5769-2.9965-2.9963
0.52830.229000.5289-0.4142-1.25420.67750.8400-196.9348-200.1031-3.0133-3.0134
0.53030.2410000.5214-0.5949-1.58880.66000.9939-200.2815-201.9101-2.9663-2.9669
0.59690.2611000.5235-0.5924-1.52220.66000.9298-199.6154-201.8848-2.9402-2.9468
0.5810.2912000.5887-0.7548-1.70750.64000.9527-201.4678-203.5091-2.7065-2.7227
0.8170.3113000.6620-1.5060-2.42210.65000.9160-208.6137-211.0213-2.7717-2.7800
0.60390.3414000.5321-1.6820-2.84390.64251.1619-212.8325-212.7814-2.6828-2.6917
0.66660.3615000.5303-1.3875-2.63840.64751.2509-210.7773-209.8365-2.8557-2.8594
0.69070.3916000.5409-2.0657-3.22140.66501.1556-216.6068-216.6184-2.8227-2.8288
0.57720.4117000.5309-1.9849-3.28330.68751.2985-217.2264-215.8097-2.6498-2.6635
0.56010.4318000.5281-1.7365-3.06430.65751.3278-215.0359-213.3255-2.8890-2.8918
0.5760.4619000.5266-1.4822-2.92940.67251.4472-213.6872-210.7831-2.7369-2.7427
1.20640.4820000.5538-2.5493-3.76250.66751.2132-222.0182-221.4542-2.6773-2.6957
0.57510.5121000.5465-1.9246-3.14800.64251.2234-215.8728-215.2067-2.6490-2.6657
0.47570.5322000.5297-1.8443-3.15530.63251.3110-215.9462-214.4039-2.6882-2.7115
0.47710.5523000.5386-2.3340-3.74430.65001.4103-221.8360-219.3013-2.6415-2.6623
0.4810.5824000.5355-1.6085-3.08000.65501.4715-215.1930-212.0460-2.6073-2.6293
0.5230.625000.5131-2.6139-4.23530.66251.6214-226.7459-222.0998-2.6134-2.6394
0.62630.6326000.5287-2.6614-4.05380.64501.3924-224.9310-222.5747-2.6189-2.6361
0.59730.6527000.5132-2.7089-4.12480.6251.4159-225.6406-223.0499-2.6167-2.6317
0.82090.6728000.5165-2.7085-4.18710.6251.4786-226.2637-223.0462-2.5605-2.5803
0.56250.729000.5117-3.4747-5.03690.63251.5622-234.7624-230.7079-2.5891-2.6163
0.59130.7230000.5164-2.5844-4.38220.66751.7978-228.2149-221.8051-2.6421-2.6632
0.74410.7531000.5175-2.4900-4.28830.67251.7983-227.2762-220.8608-2.6254-2.6465
0.61690.7732000.5163-2.2489-3.86660.66001.6176-223.0589-218.4503-2.6517-2.6775
0.53470.7933000.5222-2.6699-4.38440.63751.7145-228.2368-222.6600-2.6712-2.6909
0.53690.8234000.5244-2.7710-4.63520.66001.8642-230.7449-223.6711-2.5304-2.5595
0.56130.8435000.5431-3.7645-5.67730.64751.9128-241.1664-233.6063-2.5348-2.5604
0.63950.8736000.5332-3.8666-5.68940.65251.8227-241.2867-234.6274-2.5479-2.5778
0.65520.8937000.5149-2.9168-4.73060.65251.8138-231.6990-225.1294-2.4580-2.4901
0.63810.9138000.5081-2.6182-4.30030.66251.6821-227.3964-222.1432-2.4730-2.4991
0.53550.9439000.5100-2.5302-4.24760.64751.7173-226.8689-221.2634-2.5875-2.6065
0.54880.9640000.5164-3.1540-4.83390.65501.6798-232.7318-227.5013-2.7017-2.7215
0.68020.9941000.5134-2.6060-4.29160.66251.6856-227.3087-222.0207-2.6010-2.6250
0.09761.0142000.5031-3.0885-5.04940.66251.9609-234.8874-226.8463-2.4721-2.5028
0.08391.0343000.5027-3.3469-5.43660.66252.0897-238.7592-229.4302-2.3886-2.4238
0.07881.0644000.5398-4.4307-6.85680.67752.4261-252.9614-240.2679-2.1805-2.2275
0.07011.0845000.5432-4.3739-7.09790.69752.7240-255.3717-239.7001-2.1935-2.2437
0.09591.1146000.5362-3.9784-6.32350.69002.3451-247.6284-235.7450-2.2860-2.3272
0.11771.1347000.5411-4.1933-6.84360.68002.6504-252.8295-237.8937-2.3259-2.3682
0.16511.1648000.5737-4.8158-6.72290.67001.9071-251.6221-244.1190-2.2753-2.3139
0.12981.1849000.5528-4.6526-6.84330.68252.1907-252.8262-242.4874-2.4856-2.5188
0.11431.250000.5512-4.6212-7.08070.68002.4595-255.2000-242.1734-2.5190-2.5542
0.11451.2351000.5496-4.0598-6.61470.67752.5548-250.5396-236.5594-2.5737-2.6008
0.23241.2552000.5524-4.9650-7.66130.67252.6962-261.0058-245.6115-2.4382-2.4737
0.08671.2853000.5449-4.9568-7.67710.66252.7203-261.1645-245.5292-2.4367-2.4702
0.05031.354000.5351-4.5684-7.18600.66252.6176-256.2527-241.6449-2.4235-2.4557
0.09771.3255000.5431-4.5599-7.13170.65502.5718-255.7096-241.5597-2.5311-2.5614
0.15641.3556000.5512-5.1430-8.05100.67502.9080-264.9027-247.3911-2.3498-2.3976
0.09671.3757000.5520-4.5072-7.45060.67502.9433-258.8989-241.0335-2.2110-2.2631
0.20461.458000.5588-5.5328-8.53140.68002.9986-269.7068-251.2888-2.2155-2.2677
0.09851.4259000.5429-5.1915-7.94210.66752.7505-263.8138-247.8765-2.2606-2.3077
0.13981.4460000.5350-4.9761-7.93780.68002.9616-263.7706-245.7224-2.2291-2.2809
0.0991.4761000.5440-4.6202-7.49960.66502.8794-259.3892-242.1633-2.3362-2.3859
0.12791.4962000.5389-4.9461-7.79080.66252.8448-262.3015-245.4217-2.2276-2.2734
0.07781.5263000.5451-4.9550-7.89640.66252.9414-263.3570-245.5110-2.4781-2.5193
0.09111.5464000.5412-5.4552-8.31390.66752.8588-267.5324-250.5128-2.3604-2.4048
0.21491.5665000.5241-4.4512-7.31940.67252.8682-257.5873-240.4732-2.4011-2.4461
0.17391.5966000.5329-5.0143-7.75070.68252.7364-261.8999-246.1036-2.4143-2.4577
0.08421.6167000.5395-5.1195-8.08560.68002.9661-265.2489-247.1560-2.3877-2.4376
0.1051.6468000.5423-4.9379-7.75570.67752.8178-261.9503-245.3403-2.3798-2.4323
0.0861.6669000.5351-4.3598-7.11560.67752.7559-255.5494-239.5588-2.3870-2.4383
0.06221.6870000.5394-4.6830-7.65780.68252.9747-260.9710-242.7915-2.4276-2.4779
0.09731.7171000.5319-4.7475-7.65670.67502.9091-260.9596-243.4364-2.3010-2.3564
0.10521.7372000.5284-4.5972-7.53850.67502.9413-259.7779-241.9329-2.3696-2.4201
0.06451.7673000.5339-4.9822-8.02120.67753.0390-264.6048-245.7831-2.2857-2.3440
0.09231.7874000.5385-4.6369-7.66320.66503.0263-261.0246-242.3295-2.2563-2.3150
0.08421.8175000.5394-4.8705-7.67650.66002.8060-261.1580-244.6661-2.2808-2.3287
0.11781.8376000.5253-4.7985-7.56350.66752.7650-260.0276-243.9457-2.4022-2.4463
0.12551.8577000.5355-4.7007-7.43630.66752.7355-258.7556-242.9684-2.5073-2.5501
0.15411.8878000.5440-4.9294-7.64650.65002.7172-260.8584-245.2547-2.3551-2.4036
0.08931.979000.5397-5.2135-8.32410.65753.1106-267.6339-248.0959-2.3214-2.3784
0.12031.9380000.5296-4.8644-7.85980.65502.9954-262.9913-244.6054-2.4509-2.4969
0.10181.9581000.5381-5.3471-8.49180.66253.1447-269.3113-249.4323-2.4193-2.4671
0.07671.9782000.5386-5.2151-8.37340.66753.1582-268.1267-248.1124-2.4873-2.5329
0.08012.083000.5429-5.8103-9.03910.65753.2288-274.7842-254.0639-2.4348-2.4867
0.0342.0284000.5566-5.7907-9.24240.66253.4518-276.8175-253.8677-2.3679-2.4272
0.02462.0585000.5758-5.6317-9.15330.66253.5216-275.9264-252.2783-2.3335-2.3958
0.01872.0786000.5770-5.5795-9.25680.67253.6773-276.9613-251.7559-2.3614-2.4166
0.06062.0987000.6115-7.1190-11.28530.67504.1663-297.2460-267.1512-2.2737-2.3365
0.04022.1288000.6164-7.0531-11.13160.66004.0785-295.7089-266.4919-2.2005-2.2654
0.02632.1489000.6209-8.1609-12.37100.66504.2102-308.1034-277.5696-2.0958-2.1661
0.02422.1790000.6042-6.7201-10.76180.67254.0416-292.0106-263.1622-2.1651-2.2304
0.03832.1991000.6080-7.7898-11.93560.67504.1458-303.7489-273.8587-2.1006-2.1662
0.03712.2192000.6149-7.5635-11.70500.66754.1415-301.4433-271.5960-2.1556-2.2155
0.02792.2493000.6155-8.1686-12.44470.67754.2760-308.8397-277.6473-2.1778-2.2399
0.0212.2694000.6137-7.8294-12.04160.67004.2122-304.8092-274.2550-2.2403-2.2958
0.03742.2995000.6238-7.9227-12.28420.67504.3614-307.2347-275.1884-2.2926-2.3496
0.04122.3196000.6126-7.7094-11.97750.67004.2681-304.1685-273.0553-2.2377-2.2961
0.04132.3397000.6130-7.6030-11.87210.66754.2691-303.1140-271.9912-2.2505-2.3100
0.03612.3698000.6248-8.1273-12.60100.67504.4737-310.4034-277.2341-2.2249-2.2866
0.02892.3899000.6192-7.9924-12.38250.66754.3901-308.2185-275.8853-2.2473-2.3067
0.0382.41100000.6250-8.4114-12.87010.66754.4586-313.0937-280.0753-2.2312-2.2938
0.03342.43101000.6261-9.1807-13.74880.68254.5681-321.8813-287.7679-2.2303-2.2947
0.03592.45102000.6374-9.8214-14.27740.66504.4560-327.1667-294.1750-2.1817-2.2452
0.02662.48103000.6298-8.3278-12.56910.66504.2413-310.0836-279.2391-2.2947-2.3521
0.04232.5104000.6267-8.7527-13.25520.66754.5025-316.9453-283.4879-2.3034-2.3620
0.03292.53105000.6386-8.9354-13.55490.67004.6195-319.9424-285.3152-2.2819-2.3423
0.0392.55106000.6330-8.3549-12.88630.67754.5314-313.2566-279.5103-2.2924-2.3528
0.02782.58107000.6336-8.6754-13.17330.66754.4979-316.1258-282.7150-2.2319-2.2929
0.06062.6108000.6299-8.7158-13.08170.67004.3658-315.2101-283.1195-2.2116-2.2731
0.02932.62109000.6259-8.9092-13.29260.67254.3834-317.3194-285.0532-2.1572-2.2209
0.01962.65110000.6219-9.1783-13.56170.67004.3835-320.0104-287.7436-2.1533-2.2163
0.04052.67111000.6209-8.9912-13.30400.67004.3128-317.4330-285.8734-2.1378-2.2017
0.02782.7112000.6300-9.8318-14.26840.67004.4366-327.0771-294.2787-2.1220-2.1862
0.03072.72113000.6356-9.7027-14.17640.67004.4737-326.1576-292.9880-2.1316-2.1945
0.02422.74114000.6327-9.8085-14.25740.66254.4489-326.9674-294.0465-2.1072-2.1680
0.02422.77115000.6308-9.3697-13.84200.66504.4723-322.8135-289.6585-2.1273-2.1882
0.03372.79116000.6350-9.2810-13.79170.67004.5107-322.3100-288.7711-2.1600-2.2215
0.03022.82117000.6450-10.2754-14.95210.66754.6767-333.9139-298.7146-2.1339-2.1965
0.03542.84118000.6451-10.3736-15.07430.67254.7008-335.1366-299.6965-2.1047-2.1674
0.01532.86119000.6420-10.2126-14.91260.67004.7000-333.5196-298.0872-2.1102-2.1728
0.03882.89120000.6407-10.2075-14.90810.67254.7006-333.4741-298.0356-2.1059-2.1687
0.02532.91121000.6353-10.0842-14.75980.66504.6756-331.9908-296.8029-2.0968-2.1594
0.03172.94122000.6352-9.9956-14.68190.67504.6863-331.2123-295.9169-2.1042-2.1665
0.04312.96123000.6337-9.8807-14.55400.66754.6733-329.9332-294.7676-2.1034-2.1660
0.02332.98124000.6326-9.8796-14.54490.66754.6653-329.8422-294.7567-2.1032-2.1657

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0

Contributors

vwxyzjn

3 commits

lewtun

2 commits

HuggingFaceH4/mistral-7b-anthropic

Model

9

stars

5

commits

1

repos using this model

Feb 1, 2024

updated

alignment-handbook
conversational
endpoints_compatible
generated_from_trainer
mistral
safetensors
text-generation
text-generation-inference
transformers
Browse cluster: Fine-tuned Language Model Checkpoints

README

Mistral 7B Constitutional AI

This model is a DPO-aligned version of Mistral 7B on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/cai-conversation-harmless datasets.

It achieves the following results on the evaluation set:

  • Loss: 0.6327
  • Rewards/chosen: -9.8716
  • Rewards/rejected: -14.5465
  • Rewards/accuracies: 0.6725
  • Rewards/margins: 4.6749
  • Logps/rejected: -329.8578
  • Logps/chosen: -294.6768
  • Logits/rejected: -2.1023
  • Logits/chosen: -2.1648

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-07
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 16
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossRewards/chosenRewards/rejectedRewards/accuraciesRewards/marginsLogps/rejectedLogps/chosenLogits/rejectedLogits/chosen
0.68170.021000.68730.01490.00020.51500.0147-184.3912-195.8124-3.1605-3.1560
0.67670.052000.66140.08250.01690.55750.0656-184.2246-195.1362-3.1654-3.1605
0.63280.073000.6246-0.0374-0.21120.58750.1738-186.5047-196.3349-3.1579-3.1529
0.59190.14000.59780.2812-0.06660.61250.3478-185.0590-193.1489-3.1292-3.1243
0.55450.125000.58000.1742-0.28100.62750.4552-187.2035-194.2191-3.0819-3.0788
0.59260.146000.55990.2410-0.30760.64250.5487-187.4693-193.5507-3.0601-3.0597
0.53260.177000.5385-0.2501-0.96980.64000.7197-194.0914-198.4624-2.9076-2.9090
0.51260.198000.5238-0.3616-1.17830.65250.8167-196.1764-199.5769-2.9965-2.9963
0.52830.229000.5289-0.4142-1.25420.67750.8400-196.9348-200.1031-3.0133-3.0134
0.53030.2410000.5214-0.5949-1.58880.66000.9939-200.2815-201.9101-2.9663-2.9669
0.59690.2611000.5235-0.5924-1.52220.66000.9298-199.6154-201.8848-2.9402-2.9468
0.5810.2912000.5887-0.7548-1.70750.64000.9527-201.4678-203.5091-2.7065-2.7227
0.8170.3113000.6620-1.5060-2.42210.65000.9160-208.6137-211.0213-2.7717-2.7800
0.60390.3414000.5321-1.6820-2.84390.64251.1619-212.8325-212.7814-2.6828-2.6917
0.66660.3615000.5303-1.3875-2.63840.64751.2509-210.7773-209.8365-2.8557-2.8594
0.69070.3916000.5409-2.0657-3.22140.66501.1556-216.6068-216.6184-2.8227-2.8288
0.57720.4117000.5309-1.9849-3.28330.68751.2985-217.2264-215.8097-2.6498-2.6635
0.56010.4318000.5281-1.7365-3.06430.65751.3278-215.0359-213.3255-2.8890-2.8918
0.5760.4619000.5266-1.4822-2.92940.67251.4472-213.6872-210.7831-2.7369-2.7427
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Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0

Contributors

vwxyzjn

3 commits

lewtun

2 commits