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wookidoki/
autofix10k

Name: autofix10k
Availability: InStock

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autofix10k

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

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The following bitsandbytes quantization config was used during training:

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
0.7922	0.2	20	0.5237
0.5053	0.4	40	0.4857
0.4071	0.6	60	0.4356
0.4297	0.8	80	0.4154
0.5313	1.0	100	0.3827
0.4814	1.2	120	0.3785
0.3739	1.4	140	0.3774
0.3279	1.6	160	0.3761
0.3149	1.8	180	0.3732
0.4086	2.0	200	0.3658
0.3724	2.2	220	0.3664
0.3691	2.4	240	0.3644
0.3065	2.6	260	0.3679
0.2688	2.8	280	0.3767
0.3431	3.0	300	0.3633
0.333	3.2	320	0.3641
0.3052	3.4	340	0.3597
0.2444	3.6	360	0.3779
0.2455	3.8	380	0.3712
0.3078	4.0	400	0.3578
0.2877	4.2	420	0.3650
0.2659	4.4	440	0.3731
0.2496	4.6	460	0.3764
0.218	4.8	480	0.3781
0.219	5.0	500	0.3742
0.2119	5.2	520	0.3808
0.2435	5.4	540	0.3871
0.2331	5.6	560	0.3818
0.1738	5.8	580	0.3758
0.1772	6.0	600	0.3731
0.1607	6.2	620	0.4121
0.1942	6.4	640	0.3943
0.2312	6.6	660	0.3867
0.1528	6.8	680	0.4160
0.1155	7.0	700	0.4100
0.1495	7.2	720	0.4081
0.1674	7.4	740	0.4015
0.1849	7.6	760	0.4075
0.1231	7.8	780	0.4238
0.0905	8.0	800	0.4128
0.1156	8.2	820	0.4278
0.1628	8.4	840	0.4203
0.1545	8.6	860	0.4219
0.1236	8.8	880	0.4294
0.0799	9.0	900	0.4224
0.0991	9.2	920	0.4399
0.1176	9.4	940	0.4350
0.1711	9.6	960	0.4362
0.1106	9.8	980	0.4414
0.0582	10.0	1000	0.4372