ARC-Challenge_Llama-3.2-1B-kxmkyfib

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 8.6704
• Model Preparation Time: 0.0058
• Mdl: 3740.1267
• Accumulated Loss: 2592.4583
• Correct Preds: 110.0
• Total Preds: 299.0
• Accuracy: 0.3679
• Correct Gen Preds: 105.0
• Gen Accuracy: 0.3512
• Correct Gen Preds 32: 4.0
• Correct Preds 32: 5.0
• Total Labels 32: 64.0
• Accuracy 32: 0.0781
• Gen Accuracy 32: 0.0625
• Correct Gen Preds 33: 18.0
• Correct Preds 33: 19.0
• Total Labels 33: 73.0
• Accuracy 33: 0.2603
• Gen Accuracy 33: 0.2466
• Correct Gen Preds 34: 61.0
• Correct Preds 34: 61.0
• Total Labels 34: 78.0
• Accuracy 34: 0.7821
• Gen Accuracy 34: 0.7821
• Correct Gen Preds 35: 21.0
• Correct Preds 35: 24.0
• Total Labels 35: 83.0
• Accuracy 35: 0.2892
• Gen Accuracy 35: 0.2530
• Correct Gen Preds 36: 1.0
• Correct Preds 36: 1.0
• Total Labels 36: 1.0
• Accuracy 36: 1.0
• Gen Accuracy 36: 1.0

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 112
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Mdl	Accumulated Loss	Correct Preds	Total Preds	Accuracy	Correct Gen Preds	Gen Accuracy	Correct Gen Preds 32	Correct Preds 32	Total Labels 32	Accuracy 32	Gen Accuracy 32	Correct Gen Preds 33	Correct Preds 33	Total Labels 33	Accuracy 33	Gen Accuracy 33	Correct Gen Preds 34	Correct Preds 34	Total Labels 34	Accuracy 34	Gen Accuracy 34	Correct Gen Preds 35	Correct Preds 35	Total Labels 35	Accuracy 35	Gen Accuracy 35	Correct Gen Preds 36	Correct Preds 36	Total Labels 36	Accuracy 36	Gen Accuracy 36
No log	0	0	1.6389	0.0058	706.9523	490.0220	66.0	299.0	0.2207	66.0	0.2207	62.0	62.0	64.0	0.9688	0.9688	0.0	0.0	73.0	0.0	0.0	4.0	4.0	78.0	0.0513	0.0513	0.0	0.0	83.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0
1.6477	1.0	1	1.6389	0.0058	706.9523	490.0220	66.0	299.0	0.2207	66.0	0.2207	62.0	62.0	64.0	0.9688	0.9688	0.0	0.0	73.0	0.0	0.0	4.0	4.0	78.0	0.0513	0.0513	0.0	0.0	83.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0
1.6477	2.0	2	2.0454	0.0058	882.3094	611.5703	76.0	299.0	0.2542	76.0	0.2542	0.0	0.0	64.0	0.0	0.0	72.0	72.0	73.0	0.9863	0.9863	4.0	4.0	78.0	0.0513	0.0513	0.0	0.0	83.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0
2.0979	3.0	3	1.3844	0.0058	597.1828	413.9355	87.0	299.0	0.2910	87.0	0.2910	0.0	0.0	64.0	0.0	0.0	60.0	60.0	73.0	0.8219	0.8219	0.0	0.0	78.0	0.0	0.0	27.0	27.0	83.0	0.3253	0.3253	0.0	0.0	1.0	0.0	0.0
1.3205	4.0	4	1.8474	0.0058	796.8976	552.3673	64.0	299.0	0.2140	64.0	0.2140	64.0	64.0	64.0	1.0	1.0	0.0	0.0	73.0	0.0	0.0	0.0	0.0	78.0	0.0	0.0	0.0	0.0	83.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0
1.2752	5.0	5	1.5099	0.0058	651.3276	451.4659	78.0	299.0	0.2609	78.0	0.2609	47.0	47.0	64.0	0.7344	0.7344	7.0	7.0	73.0	0.0959	0.0959	21.0	21.0	78.0	0.2692	0.2692	3.0	3.0	83.0	0.0361	0.0361	0.0	0.0	1.0	0.0	0.0
0.8745	6.0	6	1.9551	0.0058	843.3534	584.5680	75.0	299.0	0.2508	58.0	0.1940	24.0	35.0	64.0	0.5469	0.375	10.0	15.0	73.0	0.2055	0.1370	8.0	8.0	78.0	0.1026	0.1026	16.0	17.0	83.0	0.2048	0.1928	0.0	0.0	1.0	0.0	0.0
0.3891	7.0	7	2.2535	0.0058	972.0730	673.7897	81.0	299.0	0.2709	48.0	0.1605	2.0	12.0	64.0	0.1875	0.0312	20.0	33.0	73.0	0.4521	0.2740	13.0	18.0	78.0	0.2308	0.1667	13.0	18.0	83.0	0.2169	0.1566	0.0	0.0	1.0	0.0	0.0
0.0723	8.0	8	3.3987	0.0058	1466.0698	1016.2021	88.0	299.0	0.2943	37.0	0.1237	3.0	22.0	64.0	0.3438	0.0469	7.0	16.0	73.0	0.2192	0.0959	17.0	33.0	78.0	0.4231	0.2179	10.0	17.0	83.0	0.2048	0.1205	0.0	0.0	1.0	0.0	0.0
0.0151	9.0	9	4.3882	0.0058	1892.9204	1312.0724	106.0	299.0	0.3545	51.0	0.1706	2.0	11.0	64.0	0.1719	0.0312	7.0	21.0	73.0	0.2877	0.0959	29.0	47.0	78.0	0.6026	0.3718	13.0	27.0	83.0	0.3253	0.1566	0.0	0.0	1.0	0.0	0.0
0.0005	10.0	10	5.3274	0.0058	2298.0553	1592.8905	105.0	299.0	0.3512	78.0	0.2609	3.0	9.0	64.0	0.1406	0.0469	14.0	21.0	73.0	0.2877	0.1918	45.0	50.0	78.0	0.6410	0.5769	16.0	24.0	83.0	0.2892	0.1928	0.0	1.0	1.0	1.0	0.0
0.0	11.0	11	6.1034	0.0058	2632.8159	1824.9289	106.0	299.0	0.3545	91.0	0.3043	3.0	7.0	64.0	0.1094	0.0469	19.0	22.0	73.0	0.3014	0.2603	51.0	52.0	78.0	0.6667	0.6538	17.0	24.0	83.0	0.2892	0.2048	1.0	1.0	1.0	1.0	1.0
0.0	12.0	12	6.7276	0.0058	2902.0719	2011.5630	107.0	299.0	0.3579	94.0	0.3144	2.0	7.0	64.0	0.1094	0.0312	18.0	20.0	73.0	0.2740	0.2466	54.0	55.0	78.0	0.7051	0.6923	19.0	24.0	83.0	0.2892	0.2289	1.0	1.0	1.0	1.0	1.0
0.0	13.0	13	7.1073	0.0058	3065.8497	2125.0851	107.0	299.0	0.3579	99.0	0.3311	2.0	4.0	64.0	0.0625	0.0312	19.0	22.0	73.0	0.3014	0.2603	56.0	56.0	78.0	0.7179	0.7179	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	14.0	14	7.4064	0.0058	3194.8512	2214.5021	106.0	299.0	0.3545	97.0	0.3244	3.0	4.0	64.0	0.0625	0.0469	17.0	20.0	73.0	0.2740	0.2329	55.0	56.0	78.0	0.7179	0.7051	21.0	25.0	83.0	0.3012	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	15.0	15	7.6826	0.0058	3314.0289	2297.1098	106.0	299.0	0.3545	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	56.0	56.0	78.0	0.7179	0.7179	21.0	25.0	83.0	0.3012	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	16.0	16	7.8656	0.0058	3392.9475	2351.8120	101.0	299.0	0.3378	94.0	0.3144	2.0	4.0	64.0	0.0625	0.0312	15.0	16.0	73.0	0.2192	0.2055	56.0	56.0	78.0	0.7179	0.7179	20.0	24.0	83.0	0.2892	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	17.0	17	8.0201	0.0058	3459.6157	2398.0229	101.0	299.0	0.3378	95.0	0.3177	2.0	3.0	64.0	0.0469	0.0312	16.0	17.0	73.0	0.2329	0.2192	56.0	56.0	78.0	0.7179	0.7179	20.0	24.0	83.0	0.2892	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	18.0	18	8.1050	0.0058	3496.2268	2423.3998	106.0	299.0	0.3545	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	56.0	56.0	78.0	0.7179	0.7179	22.0	26.0	83.0	0.3133	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	19.0	19	8.2369	0.0058	3553.1220	2462.8365	103.0	299.0	0.3445	97.0	0.3244	3.0	4.0	64.0	0.0625	0.0469	16.0	17.0	73.0	0.2329	0.2192	56.0	56.0	78.0	0.7179	0.7179	21.0	25.0	83.0	0.3012	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	20.0	20	8.3117	0.0058	3585.3793	2485.1956	103.0	299.0	0.3445	97.0	0.3244	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	55.0	55.0	78.0	0.7051	0.7051	20.0	24.0	83.0	0.2892	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	21.0	21	8.3686	0.0058	3609.9493	2502.2262	104.0	299.0	0.3478	98.0	0.3278	3.0	4.0	64.0	0.0625	0.0469	16.0	17.0	73.0	0.2329	0.2192	57.0	57.0	78.0	0.7308	0.7308	21.0	25.0	83.0	0.3012	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	22.0	22	8.4223	0.0058	3633.1012	2518.2739	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	16.0	17.0	73.0	0.2329	0.2192	58.0	58.0	78.0	0.7436	0.7436	23.0	26.0	83.0	0.3133	0.2771	1.0	1.0	1.0	1.0	1.0
0.0	23.0	23	8.4732	0.0058	3655.0572	2533.4926	105.0	299.0	0.3512	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	16.0	17.0	73.0	0.2329	0.2192	57.0	57.0	78.0	0.7308	0.7308	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	24.0	24	8.5141	0.0058	3672.7066	2545.7263	105.0	299.0	0.3512	101.0	0.3378	3.0	4.0	64.0	0.0625	0.0469	16.0	17.0	73.0	0.2329	0.2192	59.0	59.0	78.0	0.7564	0.7564	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	25.0	25	8.5522	0.0058	3689.1067	2557.0939	106.0	299.0	0.3545	102.0	0.3411	3.0	4.0	64.0	0.0625	0.0469	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	23.0	25.0	83.0	0.3012	0.2771	1.0	1.0	1.0	1.0	1.0
0.0	26.0	26	8.5757	0.0058	3699.2461	2564.1220	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	27.0	27	8.5743	0.0058	3698.6687	2563.7218	109.0	299.0	0.3645	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	60.0	60.0	78.0	0.7692	0.7692	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	28.0	28	8.5966	0.0058	3708.2991	2570.3970	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	29.0	29	8.6279	0.0058	3721.7709	2579.7350	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	30.0	30	8.6494	0.0058	3731.0587	2586.1728	106.0	299.0	0.3545	101.0	0.3378	3.0	4.0	64.0	0.0625	0.0469	17.0	18.0	73.0	0.2466	0.2329	59.0	59.0	78.0	0.7564	0.7564	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	31.0	31	8.6186	0.0058	3717.7530	2576.9500	109.0	299.0	0.3645	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	19.0	20.0	73.0	0.2740	0.2603	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	32.0	32	8.6690	0.0058	3739.4893	2592.0165	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	33.0	33	8.6733	0.0058	3741.3665	2593.3176	104.0	299.0	0.3478	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	34.0	34	8.6682	0.0058	3739.1696	2591.7949	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	59.0	59.0	78.0	0.7564	0.7564	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	35.0	35	8.6618	0.0058	3736.4194	2589.8885	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	36.0	36	8.6886	0.0058	3747.9652	2597.8915	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	37.0	37	8.7000	0.0058	3752.8641	2601.2872	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	38.0	38	8.6748	0.0058	3741.9910	2593.7505	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	39.0	39	8.7015	0.0058	3753.5504	2601.7629	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	40.0	40	8.6790	0.0058	3743.8151	2595.0149	105.0	299.0	0.3512	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	20.0	22.0	83.0	0.2651	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	41.0	41	8.7102	0.0058	3757.2716	2604.3422	103.0	299.0	0.3445	99.0	0.3311	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	20.0	22.0	83.0	0.2651	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	42.0	42	8.7133	0.0058	3758.6019	2605.2643	104.0	299.0	0.3478	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	43.0	43	8.6911	0.0058	3749.0326	2598.6313	105.0	299.0	0.3512	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	20.0	23.0	83.0	0.2771	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	44.0	44	8.6606	0.0058	3735.8922	2589.5231	109.0	299.0	0.3645	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	60.0	60.0	78.0	0.7692	0.7692	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	45.0	45	8.6434	0.0058	3728.4639	2584.3742	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	46.0	46	8.6821	0.0058	3745.1805	2595.9613	105.0	299.0	0.3512	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	16.0	17.0	73.0	0.2329	0.2192	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	47.0	47	8.6892	0.0058	3748.2264	2598.0726	104.0	299.0	0.3478	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	48.0	48	8.6828	0.0058	3745.4845	2596.1720	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	49.0	49	8.6937	0.0058	3750.1558	2599.4099	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	50.0	50	8.6818	0.0058	3745.0372	2595.8620	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	51.0	51	8.6842	0.0058	3746.0470	2596.5620	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	52.0	52	8.6852	0.0058	3746.4838	2596.8647	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	53.0	53	8.6656	0.0058	3738.0351	2591.0085	108.0	299.0	0.3612	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	59.0	59.0	78.0	0.7564	0.7564	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	54.0	54	8.6816	0.0058	3744.9258	2595.7848	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	60.0	60.0	78.0	0.7692	0.7692	20.0	22.0	83.0	0.2651	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	55.0	55	8.6704	0.0058	3740.1267	2592.4583	110.0	299.0	0.3679	105.0	0.3512	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	61.0	61.0	78.0	0.7821	0.7821	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	56.0	56	8.6804	0.0058	3744.4474	2595.4532	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	57.0	57	8.6920	0.0058	3749.4247	2598.9031	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	59.0	59.0	78.0	0.7564	0.7564	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	58.0	58	8.6874	0.0058	3747.4329	2597.5225	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	59.0	59	8.6562	0.0058	3733.9920	2588.2061	105.0	299.0	0.3512	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	20.0	22.0	83.0	0.2651	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	60.0	60	8.6886	0.0058	3747.9552	2597.8846	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	16.0	17.0	73.0	0.2329	0.2192	59.0	59.0	78.0	0.7564	0.7564	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	61.0	61	8.7271	0.0058	3764.5849	2609.4114	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	62.0	62	8.6558	0.0058	3733.8239	2588.0895	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	63.0	63	8.6914	0.0058	3749.1784	2598.7324	108.0	299.0	0.3612	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	59.0	59.0	78.0	0.7564	0.7564	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	64.0	64	8.7049	0.0058	3755.0161	2602.7788	108.0	299.0	0.3612	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	60.0	60.0	78.0	0.7692	0.7692	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	65.0	65	8.6536	0.0058	3732.8656	2587.4253	109.0	299.0	0.3645	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	59.0	59.0	78.0	0.7564	0.7564	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	66.0	66	8.6849	0.0058	3746.3642	2596.7818	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	59.0	59.0	78.0	0.7564	0.7564	20.0	23.0	83.0	0.2771	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	67.0	67	8.6528	0.0058	3732.5153	2587.1824	108.0	299.0	0.3612	104.0	0.3478	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	60.0	60.0	78.0	0.7692	0.7692	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	68.0	68	8.7122	0.0058	3758.1449	2604.9476	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	69.0	69	8.6601	0.0058	3735.6760	2589.3733	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	70.0	70	8.6728	0.0058	3741.1365	2593.1582	105.0	299.0	0.3512	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	71.0	71	8.7202	0.0058	3761.6155	2607.3532	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	72.0	72	8.6991	0.0058	3752.4760	2601.0182	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	73.0	73	8.6981	0.0058	3752.0639	2600.7325	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	23.0	25.0	83.0	0.3012	0.2771	1.0	1.0	1.0	1.0	1.0
0.0	74.0	74	8.6779	0.0058	3743.3328	2594.6806	104.0	299.0	0.3478	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	75.0	75	8.6568	0.0058	3734.2335	2588.3734	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	76.0	76	8.6849	0.0058	3746.3833	2596.7950	107.0	299.0	0.3579	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	25.0	83.0	0.3012	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	77.0	77	8.6833	0.0058	3745.6752	2596.3042	105.0	299.0	0.3512	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	78.0	78	8.6956	0.0058	3750.9657	2599.9713	105.0	299.0	0.3512	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	57.0	57.0	78.0	0.7308	0.7308	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	79.0	79	8.6477	0.0058	3730.3227	2585.6627	107.0	299.0	0.3579	103.0	0.3445	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	80.0	80	8.6663	0.0058	3738.3449	2591.2232	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	58.0	58.0	78.0	0.7436	0.7436	21.0	23.0	83.0	0.2771	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	81.0	81	8.6636	0.0058	3737.1635	2590.4044	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	82.0	82	8.6560	0.0058	3733.9197	2588.1559	106.0	299.0	0.3545	102.0	0.3411	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	22.0	24.0	83.0	0.2892	0.2651	1.0	1.0	1.0	1.0	1.0
0.0	83.0	83	8.6795	0.0058	3744.0509	2595.1783	104.0	299.0	0.3478	100.0	0.3344	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	20.0	22.0	83.0	0.2651	0.2410	1.0	1.0	1.0	1.0	1.0
0.0	84.0	84	8.6959	0.0058	3751.1303	2600.0854	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	17.0	18.0	73.0	0.2466	0.2329	58.0	58.0	78.0	0.7436	0.7436	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0
0.0	85.0	85	8.7419	0.0058	3770.9696	2613.8369	106.0	299.0	0.3545	101.0	0.3378	4.0	5.0	64.0	0.0781	0.0625	18.0	19.0	73.0	0.2603	0.2466	57.0	57.0	78.0	0.7308	0.7308	21.0	24.0	83.0	0.2892	0.2530	1.0	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1