SetFit with BAAI/bge-base-en-v1.5

This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-base-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.

The model has been trained using an efficient few-shot learning technique that involves:

Fine-tuning a Sentence Transformer with contrastive learning.
Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Type: SetFit
Sentence Transformer body: BAAI/bge-base-en-v1.5
Classification head: a LogisticRegression instance
Maximum Sequence Length: 512 tokens
Number of Classes: 2 classes

Model Sources

Repository: SetFit on GitHub
Paper: Efficient Few-Shot Learning Without Prompts
Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts

Model Labels

Label Examples

cybersec

Label	Examples
cybersec	"cracking this password?. http://postimg.org/image/mi3xit477/\nit's Gargoyle Router Management Utility\ni'm a pre-beginner in cracking, i setted this up in my router, but i don't want to press the reset button, it took me a few weeks to do it, so i don't wanna re-install the firmware, but i forgot the password.....\ni have unlimited times of enter times, it's a 192.168.2.1\nhow can i crack it? i don't think it's encrypted though..." 'How can someone prevent a sybil attack when connecting through TOR?. As I understand it, running sybil BTC nodes through an anonymous network like TOR is much less expensive than in clearnet. This makes it possible that one could be connected to a majority of nodes controlled by the same entity, right? \n\n Is there any way to limit exposure to this when connection through TOR? \n\n ( I am asking for a friend :P ) \n' 'Added gigabit qos switch at workstation to work around 10/100 pass though in Cisco IP phone. Widows says the LAN connection is 1Gbps, but there is a cat5, not 5e going to the machine, am I really getting gigabit?. Windows 7.\nLong story short, the network connection to our PCs was running through our Cisco IP phones, which only supported 10/100. Per my IT guy, everything else on our network, the switches etc. can support gigabit, the phone is the choke point. To workaround, I got a 5 port gigabit switch, and put the phone on the high priority qos port. Under the LAN connection in control panel, it went from 100Mbps to 1Gbps.\nThe reason I am skeptical is that the ethernet cable from the switch to the PC is cat5, not 5e. My understanding is it needs to be 5e. Since there are 3 cables (wall to switch, switch to phone, switch to pc) per machine, I would rather not replace every cable on 17 machines.\nSo, if Windows says gigabit, is that all there is to it? Or should I run some type of diagnostic?\nLonger question, we have 20ish IP phones, and a server, sharing modestly sized documents, and some server-centric ERP type software. Do I even need the Gigabit speed? Some users I have switched are noticing some improvement, but we are not transferring huge files across the network regularly, so it may just seem anecdotally faster to them. How can I tell if I really need the extra bandwidth, and what I am using?\n\nI feel like a total idiot here, be gentle...\n\nThanks!'
non-cybersec	'Tex-shell in AUCTeX. Whenever I compile a file in AUCTeX (e.g. `C-c` `C-c` and then choosing an option) , it creates a buffer `tex-shell` where I can see the output of the compilation command. Once the compilation finishes this shell buffer stays open. What is the right way to close it? \n\n Besides showing me the compilation output, what else can I use it for? \n' 'Inserting a Creative Commons Licence into a LaTeX document. I'd like to insert a CC license on a manuscript (a book or report). I've seen the page for downloading the CC icons, and also some questions asked in the forum CC logo and Generate CC information. \n\n However, I do not get how to create the actual thing! \n\n Q: Can you please provide an example of a license info page (MWE)? That would be really helpful! \n' "Hey Reddit! We're Tritonal, and we just released our new U&Me album. Ask us anything!!. Yooo! What's up!? It's Dave & Chad of Tritonal, and we've just released our newest album, U&ME, available everywhere now! We're here to answer all of YOUR questions. Let's get this thing started!\n\nASK US ANYTHING! <3\n\nOur new album U&Me - https://enhanced.ffm.to/umealbum\nOur tour dates - http://tritonalmusic.com/shows\n\nProof: https://i.imgur.com/6cxJ9eU.jpg"

"cracking this password?. http://postimg.org/image/mi3xit477/\nit's Gargoyle Router Management Utility\ni'm a pre-beginner in cracking, i setted this up in my router, but i don't want to press the reset button, it took me a few weeks to do it, so i don't wanna re-install the firmware, but i forgot the password.....\ni have unlimited times of enter times, it's a 192.168.2.1\nhow can i crack it? i don't think it's encrypted though..."
'How can someone prevent a sybil attack when connecting through TOR?.
As I understand it, running sybil BTC nodes through an anonymous network like TOR is much less expensive than in clearnet. This makes it possible that one could be connected to a majority of nodes controlled by the same entity, right?
\n\n
Is there any way to limit exposure to this when connection through TOR?
\n\n
( I am asking for a friend :P )
\n'
'Added gigabit qos switch at workstation to work around 10/100 pass though in Cisco IP phone. Widows says the LAN connection is 1Gbps, but there is a cat5, not 5e going to the machine, am I really getting gigabit?. Windows 7.\nLong story short, the network connection to our PCs was running through our Cisco IP phones, which only supported 10/100. Per my IT guy, everything else on our network, the switches etc. can support gigabit, the phone is the choke point. To workaround, I got a 5 port gigabit switch, and put the phone on the high priority qos port. Under the LAN connection in control panel, it went from 100Mbps to 1Gbps.\nThe reason I am skeptical is that the ethernet cable from the switch to the PC is cat5, not 5e. My understanding is it needs to be 5e. Since there are 3 cables (wall to switch, switch to phone, switch to pc) per machine, I would rather not replace every cable on 17 machines.\nSo, if Windows says gigabit, is that all there is to it? Or should I run some type of diagnostic?\nLonger question, we have 20ish IP phones, and a server, sharing modestly sized documents, and some server-centric ERP type software. Do I even need the Gigabit speed? Some users I have switched are noticing some improvement, but we are not transferring huge files across the network regularly, so it may just seem anecdotally faster to them. How can I tell if I really need the extra bandwidth, and what I am using?\n\nI feel like a total idiot here, be gentle...\n\nThanks!'

non-cybersec

'Tex-shell in AUCTeX.
Whenever I compile a file in AUCTeX (e.g. C-c C-c and then choosing an option) , it creates a buffer tex-shell where I can see the output of the compilation command. Once the compilation finishes this shell buffer stays open. What is the right way to close it?
\n\n
Besides showing me the compilation output, what else can I use it for?
\n'
'Inserting a Creative Commons Licence into a LaTeX document.
I'd like to insert a CC license on a manuscript (a book or report). I've seen the page for downloading the CC icons, and also some questions asked in the forum CC logo and Generate CC information.
\n\n
However, I do not get how to create the actual thing!
\n\n
Q: Can you please provide an example of a license info page (MWE)? That would be really helpful!
\n'
"Hey Reddit! We're Tritonal, and we just released our new U&Me album. Ask us anything!!. Yooo! What's up!? It's Dave & Chad of Tritonal, and we've just released our newest album, U&ME, available everywhere now! We're here to answer all of YOUR questions. Let's get this thing started!\n\nASK US ANYTHING! <3\n\nOur new album U&Me - https://enhanced.ffm.to/umealbum\nOur tour dates - http://tritonalmusic.com/shows\n\nProof: https://i.imgur.com/6cxJ9eU.jpg"

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("naufalso/setfit-ctc-bge-base-en-v1.5")
# Run inference
preds = model("The salvation of the soul in plain English: the world revolves around me.")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	2	309.552	20280

Label	Training Sample Count
non-cybersec	1000
cybersec	1000

Training Hyperparameters

batch_size: (32, 32)
num_epochs: (1, 1)
max_steps: -1
sampling_strategy: oversampling
body_learning_rate: (2e-05, 1e-05)
head_learning_rate: 0.01
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: False
use_amp: False
warmup_proportion: 0.1
l2_weight: 0.01
seed: 42
eval_max_steps: -1
load_best_model_at_end: False

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0000	1	0.2527	-
0.0008	50	0.2398	-
0.0016	100	0.2476	-
0.0024	150	0.2407	-
0.0032	200	0.2448	-
0.0040	250	0.241	-
0.0048	300	0.2381	-
0.0056	350	0.2345	-
0.0064	400	0.2344	-
0.0072	450	0.2284	-
0.0080	500	0.2232	-
0.0088	550	0.2167	-
0.0096	600	0.2082	-
0.0104	650	0.193	-
0.0112	700	0.163	-
0.0120	750	0.138	-
0.0128	800	0.1136	-
0.0136	850	0.0934	-
0.0144	900	0.0743	-
0.0152	950	0.0619	-
0.0160	1000	0.0455	-
0.0168	1050	0.0415	-
0.0176	1100	0.027	-
0.0184	1150	0.0276	-
0.0192	1200	0.0235	-
0.0200	1250	0.0183	-
0.0208	1300	0.0193	-
0.0216	1350	0.0161	-
0.0224	1400	0.0143	-
0.0232	1450	0.0134	-
0.0240	1500	0.0146	-
0.0248	1550	0.0152	-
0.0256	1600	0.0157	-
0.0264	1650	0.0138	-
0.0272	1700	0.0101	-
0.0280	1750	0.0089	-
0.0288	1800	0.0109	-
0.0296	1850	0.0122	-
0.0304	1900	0.0056	-
0.0312	1950	0.0094	-
0.0320	2000	0.0105	-
0.0328	2050	0.0101	-
0.0336	2100	0.0087	-
0.0344	2150	0.0089	-
0.0352	2200	0.0079	-
0.0360	2250	0.0091	-
0.0368	2300	0.0063	-
0.0376	2350	0.005	-
0.0384	2400	0.0083	-
0.0392	2450	0.0066	-
0.0400	2500	0.007	-
0.0408	2550	0.0049	-
0.0416	2600	0.0037	-
0.0424	2650	0.006	-
0.0432	2700	0.0063	-
0.0440	2750	0.0047	-
0.0448	2800	0.0062	-
0.0456	2850	0.0029	-
0.0464	2900	0.0038	-
0.0472	2950	0.0025	-
0.0480	3000	0.0021	-
0.0488	3050	0.0017	-
0.0496	3100	0.0041	-
0.0503	3150	0.0015	-
0.0511	3200	0.004	-
0.0519	3250	0.0019	-
0.0527	3300	0.005	-
0.0535	3350	0.0016	-
0.0543	3400	0.0037	-
0.0551	3450	0.0031	-
0.0559	3500	0.0024	-
0.0567	3550	0.0019	-
0.0575	3600	0.0036	-
0.0583	3650	0.0058	-
0.0591	3700	0.0024	-
0.0599	3750	0.0021	-
0.0607	3800	0.0015	-
0.0615	3850	0.0015	-
0.0623	3900	0.0016	-
0.0631	3950	0.0009	-
0.0639	4000	0.0014	-
0.0647	4050	0.0014	-
0.0655	4100	0.0021	-
0.0663	4150	0.0008	-
0.0671	4200	0.0031	-
0.0679	4250	0.0008	-
0.0687	4300	0.0025	-
0.0695	4350	0.0028	-
0.0703	4400	0.0025	-
0.0711	4450	0.0007	-
0.0719	4500	0.0018	-
0.0727	4550	0.0012	-
0.0735	4600	0.0012	-
0.0743	4650	0.0006	-
0.0751	4700	0.0006	-
0.0759	4750	0.0031	-
0.0767	4800	0.0017	-
0.0775	4850	0.0007	-
0.0783	4900	0.0011	-
0.0791	4950	0.0006	-
0.0799	5000	0.0006	-
0.0807	5050	0.0005	-
0.0815	5100	0.0005	-
0.0823	5150	0.0005	-
0.0831	5200	0.0005	-
0.0839	5250	0.0005	-
0.0847	5300	0.0005	-
0.0855	5350	0.0005	-
0.0863	5400	0.0005	-
0.0871	5450	0.0005	-
0.0879	5500	0.0004	-
0.0887	5550	0.0005	-
0.0895	5600	0.0004	-
0.0903	5650	0.0004	-
0.0911	5700	0.0004	-
0.0919	5750	0.0004	-
0.0927	5800	0.0004	-
0.0935	5850	0.0035	-
0.0943	5900	0.0112	-
0.0951	5950	0.0054	-
0.0959	6000	0.0058	-
0.0967	6050	0.0027	-
0.0975	6100	0.0051	-
0.0983	6150	0.0038	-
0.0991	6200	0.0031	-
0.0999	6250	0.0038	-
0.1007	6300	0.0021	-
0.1015	6350	0.0029	-
0.1023	6400	0.0018	-
0.1031	6450	0.0035	-
0.1039	6500	0.0017	-
0.1047	6550	0.0026	-
0.1055	6600	0.0016	-
0.1063	6650	0.0016	-
0.1071	6700	0.0004	-
0.1079	6750	0.001	-
0.1087	6800	0.0028	-
0.1095	6850	0.001	-
0.1103	6900	0.0003	-
0.1111	6950	0.001	-
0.1119	7000	0.0016	-
0.1127	7050	0.0003	-
0.1135	7100	0.0022	-
0.1143	7150	0.0022	-
0.1151	7200	0.0016	-
0.1159	7250	0.0007	-
0.1167	7300	0.0003	-
0.1175	7350	0.0006	-
0.1183	7400	0.0026	-
0.1191	7450	0.0004	-
0.1199	7500	0.0008	-
0.1207	7550	0.0004	-
0.1215	7600	0.0003	-
0.1223	7650	0.0004	-
0.1231	7700	0.0023	-
0.1239	7750	0.0004	-
0.1247	7800	0.0005	-
0.1255	7850	0.0005	-
0.1263	7900	0.0016	-
0.1271	7950	0.0005	-
0.1279	8000	0.0004	-
0.1287	8050	0.0003	-
0.1295	8100	0.0014	-
0.1303	8150	0.0052	-
0.1311	8200	0.005	-
0.1319	8250	0.0051	-
0.1327	8300	0.0009	-
0.1335	8350	0.0003	-
0.1343	8400	0.0004	-
0.1351	8450	0.0003	-
0.1359	8500	0.0003	-
0.1367	8550	0.0009	-
0.1375	8600	0.0003	-
0.1383	8650	0.0003	-
0.1391	8700	0.0003	-
0.1399	8750	0.0009	-
0.1407	8800	0.0012	-
0.1415	8850	0.0009	-
0.1423	8900	0.0003	-
0.1431	8950	0.0002	-
0.1439	9000	0.0002	-
0.1447	9050	0.0002	-
0.1455	9100	0.0002	-
0.1463	9150	0.0002	-
0.1471	9200	0.0002	-
0.1479	9250	0.0003	-
0.1487	9300	0.0002	-
0.1494	9350	0.0002	-
0.1502	9400	0.0002	-
0.1510	9450	0.0002	-
0.1518	9500	0.0002	-
0.1526	9550	0.0002	-
0.1534	9600	0.0002	-
0.1542	9650	0.0002	-
0.1550	9700	0.0002	-
0.1558	9750	0.0002	-
0.1566	9800	0.0002	-
0.1574	9850	0.0002	-
0.1582	9900	0.0002	-
0.1590	9950	0.0002	-
0.1598	10000	0.0002	-
0.1606	10050	0.0002	-
0.1614	10100	0.0002	-
0.1622	10150	0.0002	-
0.1630	10200	0.0002	-
0.1638	10250	0.0002	-
0.1646	10300	0.0002	-
0.1654	10350	0.0002	-
0.1662	10400	0.0002	-
0.1670	10450	0.0002	-
0.1678	10500	0.0002	-
0.1686	10550	0.0002	-
0.1694	10600	0.0002	-
0.1702	10650	0.0002	-
0.1710	10700	0.0002	-
0.1718	10750	0.0002	-
0.1726	10800	0.0002	-
0.1734	10850	0.0002	-
0.1742	10900	0.0002	-
0.1750	10950	0.0002	-
0.1758	11000	0.0002	-
0.1766	11050	0.0002	-
0.1774	11100	0.0002	-
0.1782	11150	0.0002	-
0.1790	11200	0.0002	-
0.1798	11250	0.0002	-
0.1806	11300	0.0002	-
0.1814	11350	0.0002	-
0.1822	11400	0.0002	-
0.1830	11450	0.0002	-
0.1838	11500	0.0002	-
0.1846	11550	0.0002	-
0.1854	11600	0.0002	-
0.1862	11650	0.0002	-
0.1870	11700	0.0002	-
0.1878	11750	0.0002	-
0.1886	11800	0.0001	-
0.1894	11850	0.0002	-
0.1902	11900	0.0002	-
0.1910	11950	0.0001	-
0.1918	12000	0.0001	-
0.1926	12050	0.0001	-
0.1934	12100	0.0001	-
0.1942	12150	0.0001	-
0.1950	12200	0.0001	-
0.1958	12250	0.0001	-
0.1966	12300	0.0001	-
0.1974	12350	0.0001	-
0.1982	12400	0.0001	-
0.1990	12450	0.0001	-
0.1998	12500	0.0001	-
0.2006	12550	0.0001	-
0.2014	12600	0.0001	-
0.2022	12650	0.0001	-
0.2030	12700	0.0001	-
0.2038	12750	0.0001	-
0.2046	12800	0.0001	-
0.2054	12850	0.0001	-
0.2062	12900	0.0001	-
0.2070	12950	0.0001	-
0.2078	13000	0.0001	-
0.2086	13050	0.0001	-
0.2094	13100	0.0001	-
0.2102	13150	0.0001	-
0.2110	13200	0.0001	-
0.2118	13250	0.0001	-
0.2126	13300	0.0001	-
0.2134	13350	0.0001	-
0.2142	13400	0.0001	-
0.2150	13450	0.0001	-
0.2158	13500	0.0001	-
0.2166	13550	0.0001	-
0.2174	13600	0.0001	-
0.2182	13650	0.0001	-
0.2190	13700	0.0001	-
0.2198	13750	0.0001	-
0.2206	13800	0.0001	-
0.2214	13850	0.0001	-
0.2222	13900	0.0001	-
0.2230	13950	0.0001	-
0.2238	14000	0.0001	-
0.2246	14050	0.0001	-
0.2254	14100	0.0001	-
0.2262	14150	0.0001	-
0.2270	14200	0.0001	-
0.2278	14250	0.0001	-
0.2286	14300	0.0001	-
0.2294	14350	0.0001	-
0.2302	14400	0.0001	-
0.2310	14450	0.0001	-
0.2318	14500	0.0001	-
0.2326	14550	0.0001	-
0.2334	14600	0.0001	-
0.2342	14650	0.0001	-
0.2350	14700	0.0001	-
0.2358	14750	0.0001	-
0.2366	14800	0.0001	-
0.2374	14850	0.0001	-
0.2382	14900	0.0001	-
0.2390	14950	0.0001	-
0.2398	15000	0.0001	-
0.2406	15050	0.0001	-
0.2414	15100	0.0001	-
0.2422	15150	0.0001	-
0.2430	15200	0.0001	-
0.2438	15250	0.0001	-
0.2446	15300	0.0001	-
0.2454	15350	0.0001	-
0.2462	15400	0.0001	-
0.2470	15450	0.0001	-
0.2478	15500	0.0001	-
0.2485	15550	0.0001	-
0.2493	15600	0.0001	-
0.2501	15650	0.0001	-
0.2509	15700	0.0001	-
0.2517	15750	0.0001	-
0.2525	15800	0.0001	-
0.2533	15850	0.0001	-
0.2541	15900	0.0001	-
0.2549	15950	0.0001	-
0.2557	16000	0.0001	-
0.2565	16050	0.0001	-
0.2573	16100	0.0001	-
0.2581	16150	0.0001	-
0.2589	16200	0.0001	-
0.2597	16250	0.0001	-
0.2605	16300	0.0001	-
0.2613	16350	0.0001	-
0.2621	16400	0.0001	-
0.2629	16450	0.0011	-
0.2637	16500	0.0011	-
0.2645	16550	0.0022	-
0.2653	16600	0.0055	-
0.2661	16650	0.0012	-
0.2669	16700	0.0023	-
0.2677	16750	0.0016	-
0.2685	16800	0.0001	-
0.2693	16850	0.0001	-
0.2701	16900	0.0001	-
0.2709	16950	0.0001	-
0.2717	17000	0.0001	-
0.2725	17050	0.0001	-
0.2733	17100	0.0001	-
0.2741	17150	0.0001	-
0.2749	17200	0.0001	-
0.2757	17250	0.0001	-
0.2765	17300	0.0001	-
0.2773	17350	0.0001	-
0.2781	17400	0.0001	-
0.2789	17450	0.0001	-
0.2797	17500	0.0001	-
0.2805	17550	0.0001	-
0.2813	17600	0.0001	-
0.2821	17650	0.0001	-
0.2829	17700	0.0001	-
0.2837	17750	0.0001	-
0.2845	17800	0.0003	-
0.2853	17850	0.0001	-
0.2861	17900	0.0001	-
0.2869	17950	0.0001	-
0.2877	18000	0.0001	-
0.2885	18050	0.0001	-
0.2893	18100	0.0001	-
0.2901	18150	0.0001	-
0.2909	18200	0.0001	-
0.2917	18250	0.0001	-
0.2925	18300	0.0001	-
0.2933	18350	0.0001	-
0.2941	18400	0.0001	-
0.2949	18450	0.0001	-
0.2957	18500	0.0001	-
0.2965	18550	0.0001	-
0.2973	18600	0.0001	-
0.2981	18650	0.0001	-
0.2989	18700	0.0001	-
0.2997	18750	0.0001	-
0.3005	18800	0.0001	-
0.3013	18850	0.0001	-
0.3021	18900	0.0001	-
0.3029	18950	0.0001	-
0.3037	19000	0.0001	-
0.3045	19050	0.0001	-
0.3053	19100	0.0001	-
0.3061	19150	0.0001	-
0.3069	19200	0.0001	-
0.3077	19250	0.0001	-
0.3085	19300	0.0001	-
0.3093	19350	0.0001	-
0.3101	19400	0.0001	-
0.3109	19450	0.0001	-
0.3117	19500	0.0001	-
0.3125	19550	0.0001	-
0.3133	19600	0.0001	-
0.3141	19650	0.0001	-
0.3149	19700	0.0001	-
0.3157	19750	0.0001	-
0.3165	19800	0.0	-
0.3173	19850	0.0001	-
0.3181	19900	0.0001	-
0.3189	19950	0.0001	-
0.3197	20000	0.0001	-
0.3205	20050	0.0001	-
0.3213	20100	0.0001	-
0.3221	20150	0.0001	-
0.3229	20200	0.0	-
0.3237	20250	0.0001	-
0.3245	20300	0.0	-
0.3253	20350	0.0001	-
0.3261	20400	0.0	-
0.3269	20450	0.0	-
0.3277	20500	0.0	-
0.3285	20550	0.0001	-
0.3293	20600	0.0	-
0.3301	20650	0.0	-
0.3309	20700	0.0	-
0.3317	20750	0.0	-
0.3325	20800	0.0	-
0.3333	20850	0.0	-
0.3341	20900	0.0	-
0.3349	20950	0.0	-
0.3357	21000	0.0	-
0.3365	21050	0.0	-
0.3373	21100	0.0	-
0.3381	21150	0.0	-
0.3389	21200	0.0	-
0.3397	21250	0.0	-
0.3405	21300	0.0	-
0.3413	21350	0.0	-
0.3421	21400	0.0	-
0.3429	21450	0.0	-
0.3437	21500	0.0	-
0.3445	21550	0.0	-
0.3453	21600	0.0	-
0.3461	21650	0.0	-
0.3469	21700	0.0	-
0.3476	21750	0.0	-
0.3484	21800	0.0	-
0.3492	21850	0.0	-
0.3500	21900	0.0	-
0.3508	21950	0.0	-
0.3516	22000	0.0	-
0.3524	22050	0.0	-
0.3532	22100	0.0	-
0.3540	22150	0.0	-
0.3548	22200	0.0	-
0.3556	22250	0.0	-
0.3564	22300	0.0	-
0.3572	22350	0.0	-
0.3580	22400	0.0	-
0.3588	22450	0.0	-
0.3596	22500	0.0	-
0.3604	22550	0.0	-
0.3612	22600	0.0	-
0.3620	22650	0.0	-
0.3628	22700	0.0	-
0.3636	22750	0.0	-
0.3644	22800	0.0	-
0.3652	22850	0.0	-
0.3660	22900	0.0	-
0.3668	22950	0.0	-
0.3676	23000	0.0	-
0.3684	23050	0.0	-
0.3692	23100	0.0	-
0.3700	23150	0.0	-
0.3708	23200	0.0	-
0.3716	23250	0.0	-
0.3724	23300	0.0	-
0.3732	23350	0.0	-
0.3740	23400	0.0	-
0.3748	23450	0.0	-
0.3756	23500	0.0	-
0.3764	23550	0.0	-
0.3772	23600	0.0	-
0.3780	23650	0.0	-
0.3788	23700	0.0	-
0.3796	23750	0.0	-
0.3804	23800	0.0	-
0.3812	23850	0.0	-
0.3820	23900	0.0	-
0.3828	23950	0.0	-
0.3836	24000	0.0	-
0.3844	24050	0.0	-
0.3852	24100	0.0	-
0.3860	24150	0.0	-
0.3868	24200	0.0	-
0.3876	24250	0.0	-
0.3884	24300	0.0	-
0.3892	24350	0.0	-
0.3900	24400	0.0	-
0.3908	24450	0.0	-
0.3916	24500	0.0	-
0.3924	24550	0.0	-
0.3932	24600	0.0	-
0.3940	24650	0.0	-
0.3948	24700	0.0	-
0.3956	24750	0.0	-
0.3964	24800	0.0	-
0.3972	24850	0.0	-
0.3980	24900	0.0	-
0.3988	24950	0.0	-
0.3996	25000	0.0	-
0.4004	25050	0.0	-
0.4012	25100	0.0	-
0.4020	25150	0.0	-
0.4028	25200	0.0	-
0.4036	25250	0.0	-
0.4044	25300	0.0	-
0.4052	25350	0.0	-
0.4060	25400	0.0	-
0.4068	25450	0.0	-
0.4076	25500	0.0	-
0.4084	25550	0.0	-
0.4092	25600	0.0	-
0.4100	25650	0.0	-
0.4108	25700	0.0	-
0.4116	25750	0.0	-
0.4124	25800	0.0	-
0.4132	25850	0.0	-
0.4140	25900	0.0	-
0.4148	25950	0.0	-
0.4156	26000	0.0	-
0.4164	26050	0.0	-
0.4172	26100	0.0	-
0.4180	26150	0.0	-
0.4188	26200	0.0	-
0.4196	26250	0.0	-
0.4204	26300	0.0	-
0.4212	26350	0.0	-
0.4220	26400	0.0	-
0.4228	26450	0.0	-
0.4236	26500	0.0	-
0.4244	26550	0.0	-
0.4252	26600	0.0	-
0.4260	26650	0.0	-
0.4268	26700	0.0	-
0.4276	26750	0.0	-
0.4284	26800	0.0	-
0.4292	26850	0.0	-
0.4300	26900	0.0	-
0.4308	26950	0.0	-
0.4316	27000	0.0	-
0.4324	27050	0.0	-
0.4332	27100	0.0	-
0.4340	27150	0.0	-
0.4348	27200	0.0	-
0.4356	27250	0.0	-
0.4364	27300	0.0	-
0.4372	27350	0.0	-
0.4380	27400	0.0	-
0.4388	27450	0.0	-
0.4396	27500	0.0	-
0.4404	27550	0.0	-
0.4412	27600	0.0	-
0.4420	27650	0.0	-
0.4428	27700	0.0	-
0.4436	27750	0.0	-
0.4444	27800	0.0	-
0.4452	27850	0.0	-
0.4460	27900	0.0	-
0.4467	27950	0.0	-
0.4475	28000	0.0	-
0.4483	28050	0.0	-
0.4491	28100	0.0	-
0.4499	28150	0.0	-
0.4507	28200	0.0	-
0.4515	28250	0.0	-
0.4523	28300	0.0	-
0.4531	28350	0.0	-
0.4539	28400	0.0	-
0.4547	28450	0.0	-
0.4555	28500	0.0	-
0.4563	28550	0.0	-
0.4571	28600	0.0	-
0.4579	28650	0.0	-
0.4587	28700	0.0	-
0.4595	28750	0.0	-
0.4603	28800	0.0	-
0.4611	28850	0.0	-
0.4619	28900	0.0	-
0.4627	28950	0.0	-
0.4635	29000	0.0	-
0.4643	29050	0.0	-
0.4651	29100	0.0	-
0.4659	29150	0.0	-
0.4667	29200	0.0	-
0.4675	29250	0.0	-
0.4683	29300	0.0	-
0.4691	29350	0.0003	-
0.4699	29400	0.0	-
0.4707	29450	0.0005	-
0.4715	29500	0.0	-
0.4723	29550	0.0	-
0.4731	29600	0.0	-
0.4739	29650	0.0001	-
0.4747	29700	0.0	-
0.4755	29750	0.0	-
0.4763	29800	0.0	-
0.4771	29850	0.0	-
0.4779	29900	0.0	-
0.4787	29950	0.0	-
0.4795	30000	0.0	-
0.4803	30050	0.0	-
0.4811	30100	0.0	-
0.4819	30150	0.0	-
0.4827	30200	0.0	-
0.4835	30250	0.0	-
0.4843	30300	0.0	-
0.4851	30350	0.0	-
0.4859	30400	0.0	-
0.4867	30450	0.0	-
0.4875	30500	0.0	-
0.4883	30550	0.0	-
0.4891	30600	0.0	-
0.4899	30650	0.0	-
0.4907	30700	0.0	-
0.4915	30750	0.0	-
0.4923	30800	0.0	-
0.4931	30850	0.0	-
0.4939	30900	0.0	-
0.4947	30950	0.0	-
0.4955	31000	0.0	-
0.4963	31050	0.0	-
0.4971	31100	0.0	-
0.4979	31150	0.0	-
0.4987	31200	0.0	-
0.4995	31250	0.0	-
0.5003	31300	0.0	-
0.5011	31350	0.0	-
0.5019	31400	0.0	-
0.5027	31450	0.0	-
0.5035	31500	0.0	-
0.5043	31550	0.0043	-
0.5051	31600	0.0008	-
0.5059	31650	0.0	-
0.5067	31700	0.0	-
0.5075	31750	0.0	-
0.5083	31800	0.0	-
0.5091	31850	0.0	-
0.5099	31900	0.0	-
0.5107	31950	0.0	-
0.5115	32000	0.0	-
0.5123	32050	0.0	-
0.5131	32100	0.0	-
0.5139	32150	0.0	-
0.5147	32200	0.0	-
0.5155	32250	0.0	-
0.5163	32300	0.0	-
0.5171	32350	0.0	-
0.5179	32400	0.0	-
0.5187	32450	0.0	-
0.5195	32500	0.0	-
0.5203	32550	0.0	-
0.5211	32600	0.0	-
0.5219	32650	0.0	-
0.5227	32700	0.0	-
0.5235	32750	0.0	-
0.5243	32800	0.0	-
0.5251	32850	0.0	-
0.5259	32900	0.0	-
0.5267	32950	0.0	-
0.5275	33000	0.0	-
0.5283	33050	0.0	-
0.5291	33100	0.0	-
0.5299	33150	0.0	-
0.5307	33200	0.0	-
0.5315	33250	0.0	-
0.5323	33300	0.0	-
0.5331	33350	0.0	-
0.5339	33400	0.0	-
0.5347	33450	0.0	-
0.5355	33500	0.0	-
0.5363	33550	0.0	-
0.5371	33600	0.0	-
0.5379	33650	0.0	-
0.5387	33700	0.0	-
0.5395	33750	0.0	-
0.5403	33800	0.0	-
0.5411	33850	0.0	-
0.5419	33900	0.0	-
0.5427	33950	0.0	-
0.5435	34000	0.0	-
0.5443	34050	0.0	-
0.5451	34100	0.0	-
0.5458	34150	0.0	-
0.5466	34200	0.0	-
0.5474	34250	0.0	-
0.5482	34300	0.0	-
0.5490	34350	0.0	-
0.5498	34400	0.0	-
0.5506	34450	0.0	-
0.5514	34500	0.0	-
0.5522	34550	0.0	-
0.5530	34600	0.0	-
0.5538	34650	0.0	-
0.5546	34700	0.0	-
0.5554	34750	0.0	-
0.5562	34800	0.0	-
0.5570	34850	0.0	-
0.5578	34900	0.0	-
0.5586	34950	0.0	-
0.5594	35000	0.0	-
0.5602	35050	0.0	-
0.5610	35100	0.0	-
0.5618	35150	0.0	-
0.5626	35200	0.0	-
0.5634	35250	0.0	-
0.5642	35300	0.0	-
0.5650	35350	0.0	-
0.5658	35400	0.0	-
0.5666	35450	0.0	-
0.5674	35500	0.0	-
0.5682	35550	0.0	-
0.5690	35600	0.0	-
0.5698	35650	0.0	-
0.5706	35700	0.0	-
0.5714	35750	0.0	-
0.5722	35800	0.0	-
0.5730	35850	0.0	-
0.5738	35900	0.0	-
0.5746	35950	0.0	-
0.5754	36000	0.0	-
0.5762	36050	0.0	-
0.5770	36100	0.0	-
0.5778	36150	0.0	-
0.5786	36200	0.0	-
0.5794	36250	0.0	-
0.5802	36300	0.0	-
0.5810	36350	0.0	-
0.5818	36400	0.0	-
0.5826	36450	0.0	-
0.5834	36500	0.0	-
0.5842	36550	0.0	-
0.5850	36600	0.0	-
0.5858	36650	0.0	-
0.5866	36700	0.0	-
0.5874	36750	0.0	-
0.5882	36800	0.0	-
0.5890	36850	0.0	-
0.5898	36900	0.0	-
0.5906	36950	0.0	-
0.5914	37000	0.0	-
0.5922	37050	0.0	-
0.5930	37100	0.0	-
0.5938	37150	0.0	-
0.5946	37200	0.0	-
0.5954	37250	0.0	-
0.5962	37300	0.0	-
0.5970	37350	0.0	-
0.5978	37400	0.0	-
0.5986	37450	0.0	-
0.5994	37500	0.0	-
0.6002	37550	0.0	-
0.6010	37600	0.0	-
0.6018	37650	0.0	-
0.6026	37700	0.0	-
0.6034	37750	0.0	-
0.6042	37800	0.0	-
0.6050	37850	0.0	-
0.6058	37900	0.0	-
0.6066	37950	0.0	-
0.6074	38000	0.0	-
0.6082	38050	0.0	-
0.6090	38100	0.0	-
0.6098	38150	0.0	-
0.6106	38200	0.0	-
0.6114	38250	0.0	-
0.6122	38300	0.0	-
0.6130	38350	0.0	-
0.6138	38400	0.0	-
0.6146	38450	0.0	-
0.6154	38500	0.0	-
0.6162	38550	0.0	-
0.6170	38600	0.0	-
0.6178	38650	0.0	-
0.6186	38700	0.0	-
0.6194	38750	0.0	-
0.6202	38800	0.0	-
0.6210	38850	0.0	-
0.6218	38900	0.0	-
0.6226	38950	0.0	-
0.6234	39000	0.0	-
0.6242	39050	0.0	-
0.6250	39100	0.0	-
0.6258	39150	0.0	-
0.6266	39200	0.0	-
0.6274	39250	0.0006	-
0.6282	39300	0.0	-
0.6290	39350	0.0022	-
0.6298	39400	0.0	-
0.6306	39450	0.0	-
0.6314	39500	0.0	-
0.6322	39550	0.0	-
0.6330	39600	0.0	-
0.6338	39650	0.0	-
0.6346	39700	0.0	-
0.6354	39750	0.0	-
0.6362	39800	0.0	-
0.6370	39850	0.0	-
0.6378	39900	0.0	-
0.6386	39950	0.0	-
0.6394	40000	0.0	-
0.6402	40050	0.0	-
0.6410	40100	0.0	-
0.6418	40150	0.0	-
0.6426	40200	0.0	-
0.6434	40250	0.0	-
0.6442	40300	0.0	-
0.6449	40350	0.0	-
0.6457	40400	0.0	-
0.6465	40450	0.0	-
0.6473	40500	0.0	-
0.6481	40550	0.0	-
0.6489	40600	0.0	-
0.6497	40650	0.0	-
0.6505	40700	0.0	-
0.6513	40750	0.0	-
0.6521	40800	0.0	-
0.6529	40850	0.0	-
0.6537	40900	0.0	-
0.6545	40950	0.0	-
0.6553	41000	0.0	-
0.6561	41050	0.0	-
0.6569	41100	0.0	-
0.6577	41150	0.0	-
0.6585	41200	0.0	-
0.6593	41250	0.0	-
0.6601	41300	0.0	-
0.6609	41350	0.0	-
0.6617	41400	0.0	-
0.6625	41450	0.0	-
0.6633	41500	0.0	-
0.6641	41550	0.0	-
0.6649	41600	0.0	-
0.6657	41650	0.0	-
0.6665	41700	0.0	-
0.6673	41750	0.0	-
0.6681	41800	0.0	-
0.6689	41850	0.0	-
0.6697	41900	0.0	-
0.6705	41950	0.0	-
0.6713	42000	0.0	-
0.6721	42050	0.0	-
0.6729	42100	0.0	-
0.6737	42150	0.0	-
0.6745	42200	0.0	-
0.6753	42250	0.0	-
0.6761	42300	0.0	-
0.6769	42350	0.0	-
0.6777	42400	0.0	-
0.6785	42450	0.0	-
0.6793	42500	0.0	-
0.6801	42550	0.0	-
0.6809	42600	0.0	-
0.6817	42650	0.0	-
0.6825	42700	0.0	-
0.6833	42750	0.0	-
0.6841	42800	0.0	-
0.6849	42850	0.0	-
0.6857	42900	0.0	-
0.6865	42950	0.0	-
0.6873	43000	0.0	-
0.6881	43050	0.0	-
0.6889	43100	0.0	-
0.6897	43150	0.0	-
0.6905	43200	0.0	-
0.6913	43250	0.0	-
0.6921	43300	0.0	-
0.6929	43350	0.0	-
0.6937	43400	0.0	-
0.6945	43450	0.0	-
0.6953	43500	0.0	-
0.6961	43550	0.0	-
0.6969	43600	0.0	-
0.6977	43650	0.0	-
0.6985	43700	0.0	-
0.6993	43750	0.0	-
0.7001	43800	0.0	-
0.7009	43850	0.0	-
0.7017	43900	0.0	-
0.7025	43950	0.0	-
0.7033	44000	0.0	-
0.7041	44050	0.0	-
0.7049	44100	0.0	-
0.7057	44150	0.0	-
0.7065	44200	0.0	-
0.7073	44250	0.0	-
0.7081	44300	0.0	-
0.7089	44350	0.0	-
0.7097	44400	0.0	-
0.7105	44450	0.0	-
0.7113	44500	0.0	-
0.7121	44550	0.0	-
0.7129	44600	0.0	-
0.7137	44650	0.0	-
0.7145	44700	0.0	-
0.7153	44750	0.0	-
0.7161	44800	0.0	-
0.7169	44850	0.0	-
0.7177	44900	0.0	-
0.7185	44950	0.0	-
0.7193	45000	0.0	-
0.7201	45050	0.0	-
0.7209	45100	0.0	-
0.7217	45150	0.0	-
0.7225	45200	0.0	-
0.7233	45250	0.0	-
0.7241	45300	0.0	-
0.7249	45350	0.0	-
0.7257	45400	0.0	-
0.7265	45450	0.0	-
0.7273	45500	0.0	-
0.7281	45550	0.0	-
0.7289	45600	0.0	-
0.7297	45650	0.0001	-
0.7305	45700	0.0	-
0.7313	45750	0.0	-
0.7321	45800	0.0	-
0.7329	45850	0.0	-
0.7337	45900	0.0	-
0.7345	45950	0.0	-
0.7353	46000	0.0	-
0.7361	46050	0.0	-
0.7369	46100	0.0	-
0.7377	46150	0.0	-
0.7385	46200	0.0	-
0.7393	46250	0.0	-
0.7401	46300	0.0	-
0.7409	46350	0.0	-
0.7417	46400	0.0	-
0.7425	46450	0.0	-
0.7433	46500	0.0	-
0.7440	46550	0.0	-
0.7448	46600	0.0	-
0.7456	46650	0.0	-
0.7464	46700	0.0	-
0.7472	46750	0.0	-
0.7480	46800	0.0	-
0.7488	46850	0.0	-
0.7496	46900	0.0	-
0.7504	46950	0.0	-
0.7512	47000	0.0	-
0.7520	47050	0.0	-
0.7528	47100	0.0	-
0.7536	47150	0.0	-
0.7544	47200	0.0	-
0.7552	47250	0.0	-
0.7560	47300	0.0	-
0.7568	47350	0.0	-
0.7576	47400	0.0	-
0.7584	47450	0.0	-
0.7592	47500	0.0	-
0.7600	47550	0.0	-
0.7608	47600	0.0	-
0.7616	47650	0.0	-
0.7624	47700	0.0	-
0.7632	47750	0.0	-
0.7640	47800	0.0	-
0.7648	47850	0.0	-
0.7656	47900	0.0	-
0.7664	47950	0.0	-
0.7672	48000	0.0	-
0.7680	48050	0.0	-
0.7688	48100	0.0	-
0.7696	48150	0.0	-
0.7704	48200	0.0	-
0.7712	48250	0.0	-
0.7720	48300	0.0	-
0.7728	48350	0.0	-
0.7736	48400	0.0	-
0.7744	48450	0.0	-
0.7752	48500	0.0	-
0.7760	48550	0.0	-
0.7768	48600	0.0	-
0.7776	48650	0.0	-
0.7784	48700	0.0	-
0.7792	48750	0.0	-
0.7800	48800	0.0	-
0.7808	48850	0.0	-
0.7816	48900	0.0	-
0.7824	48950	0.0	-
0.7832	49000	0.0	-
0.7840	49050	0.0	-
0.7848	49100	0.0	-
0.7856	49150	0.0	-
0.7864	49200	0.0	-
0.7872	49250	0.0	-
0.7880	49300	0.0	-
0.7888	49350	0.0	-
0.7896	49400	0.0	-
0.7904	49450	0.0	-
0.7912	49500	0.0	-
0.7920	49550	0.0	-
0.7928	49600	0.0	-
0.7936	49650	0.0	-
0.7944	49700	0.0	-
0.7952	49750	0.0	-
0.7960	49800	0.0	-
0.7968	49850	0.0	-
0.7976	49900	0.0	-
0.7984	49950	0.0	-
0.7992	50000	0.0	-
0.8000	50050	0.0	-
0.8008	50100	0.0	-
0.8016	50150	0.0	-
0.8024	50200	0.0	-
0.8032	50250	0.0	-
0.8040	50300	0.0	-
0.8048	50350	0.0	-
0.8056	50400	0.0	-
0.8064	50450	0.0	-
0.8072	50500	0.0	-
0.8080	50550	0.0	-
0.8088	50600	0.0	-
0.8096	50650	0.0	-
0.8104	50700	0.0	-
0.8112	50750	0.0	-
0.8120	50800	0.0	-
0.8128	50850	0.0	-
0.8136	50900	0.0	-
0.8144	50950	0.0	-
0.8152	51000	0.0	-
0.8160	51050	0.0	-
0.8168	51100	0.0	-
0.8176	51150	0.0	-
0.8184	51200	0.0	-
0.8192	51250	0.0	-
0.8200	51300	0.0	-
0.8208	51350	0.0	-
0.8216	51400	0.0	-
0.8224	51450	0.0	-
0.8232	51500	0.0	-
0.8240	51550	0.0	-
0.8248	51600	0.0	-
0.8256	51650	0.0	-
0.8264	51700	0.0	-
0.8272	51750	0.0	-
0.8280	51800	0.0	-
0.8288	51850	0.0	-
0.8296	51900	0.0	-
0.8304	51950	0.0	-
0.8312	52000	0.0	-
0.8320	52050	0.0	-
0.8328	52100	0.0	-
0.8336	52150	0.0	-
0.8344	52200	0.0	-
0.8352	52250	0.0	-
0.8360	52300	0.0	-
0.8368	52350	0.0	-
0.8376	52400	0.0	-
0.8384	52450	0.0	-
0.8392	52500	0.0	-
0.8400	52550	0.0	-
0.8408	52600	0.0	-
0.8416	52650	0.0	-
0.8424	52700	0.0	-
0.8432	52750	0.0	-
0.8439	52800	0.0	-
0.8447	52850	0.0	-
0.8455	52900	0.0	-
0.8463	52950	0.0	-
0.8471	53000	0.0	-
0.8479	53050	0.0	-
0.8487	53100	0.0	-
0.8495	53150	0.0	-
0.8503	53200	0.0	-
0.8511	53250	0.0	-
0.8519	53300	0.0	-
0.8527	53350	0.0	-
0.8535	53400	0.0	-
0.8543	53450	0.0	-
0.8551	53500	0.0	-
0.8559	53550	0.0	-
0.8567	53600	0.0	-
0.8575	53650	0.0	-
0.8583	53700	0.0	-
0.8591	53750	0.0	-
0.8599	53800	0.0	-
0.8607	53850	0.0	-
0.8615	53900	0.0	-
0.8623	53950	0.0	-
0.8631	54000	0.0	-
0.8639	54050	0.0	-
0.8647	54100	0.0	-
0.8655	54150	0.0	-
0.8663	54200	0.0	-
0.8671	54250	0.0	-
0.8679	54300	0.0	-
0.8687	54350	0.0	-
0.8695	54400	0.0	-
0.8703	54450	0.0	-
0.8711	54500	0.0	-
0.8719	54550	0.0	-
0.8727	54600	0.0	-
0.8735	54650	0.0	-
0.8743	54700	0.0	-
0.8751	54750	0.0	-
0.8759	54800	0.0	-
0.8767	54850	0.0	-
0.8775	54900	0.0	-
0.8783	54950	0.0	-
0.8791	55000	0.0	-
0.8799	55050	0.0	-
0.8807	55100	0.0	-
0.8815	55150	0.0	-
0.8823	55200	0.0	-
0.8831	55250	0.0	-
0.8839	55300	0.0	-
0.8847	55350	0.0	-
0.8855	55400	0.0	-
0.8863	55450	0.0	-
0.8871	55500	0.0	-
0.8879	55550	0.0	-
0.8887	55600	0.0004	-
0.8895	55650	0.0	-
0.8903	55700	0.0	-
0.8911	55750	0.0	-
0.8919	55800	0.0	-
0.8927	55850	0.0	-
0.8935	55900	0.0	-
0.8943	55950	0.0	-
0.8951	56000	0.0	-
0.8959	56050	0.0	-
0.8967	56100	0.0	-
0.8975	56150	0.0	-
0.8983	56200	0.0	-
0.8991	56250	0.0	-
0.8999	56300	0.0	-
0.9007	56350	0.0	-
0.9015	56400	0.0	-
0.9023	56450	0.0	-
0.9031	56500	0.0	-
0.9039	56550	0.0	-
0.9047	56600	0.0	-
0.9055	56650	0.0	-
0.9063	56700	0.0	-
0.9071	56750	0.0	-
0.9079	56800	0.0	-
0.9087	56850	0.0	-
0.9095	56900	0.0	-
0.9103	56950	0.0	-
0.9111	57000	0.0	-
0.9119	57050	0.0	-
0.9127	57100	0.0	-
0.9135	57150	0.0	-
0.9143	57200	0.0	-
0.9151	57250	0.0	-
0.9159	57300	0.0	-
0.9167	57350	0.0	-
0.9175	57400	0.0	-
0.9183	57450	0.0	-
0.9191	57500	0.0	-
0.9199	57550	0.0	-
0.9207	57600	0.0	-
0.9215	57650	0.0	-
0.9223	57700	0.0	-
0.9231	57750	0.0	-
0.9239	57800	0.0	-
0.9247	57850	0.0	-
0.9255	57900	0.0	-
0.9263	57950	0.0	-
0.9271	58000	0.0	-
0.9279	58050	0.0	-
0.9287	58100	0.0	-
0.9295	58150	0.0	-
0.9303	58200	0.0	-
0.9311	58250	0.0	-
0.9319	58300	0.0	-
0.9327	58350	0.0	-
0.9335	58400	0.0	-
0.9343	58450	0.0	-
0.9351	58500	0.0	-
0.9359	58550	0.0	-
0.9367	58600	0.0	-
0.9375	58650	0.0	-
0.9383	58700	0.0	-
0.9391	58750	0.0	-
0.9399	58800	0.0	-
0.9407	58850	0.0	-
0.9415	58900	0.0	-
0.9423	58950	0.0	-
0.9430	59000	0.0	-
0.9438	59050	0.0	-
0.9446	59100	0.0	-
0.9454	59150	0.0	-
0.9462	59200	0.0	-
0.9470	59250	0.0	-
0.9478	59300	0.0	-
0.9486	59350	0.0	-
0.9494	59400	0.0	-
0.9502	59450	0.0	-
0.9510	59500	0.0	-
0.9518	59550	0.0	-
0.9526	59600	0.0	-
0.9534	59650	0.0	-
0.9542	59700	0.0	-
0.9550	59750	0.0	-
0.9558	59800	0.0	-
0.9566	59850	0.0	-
0.9574	59900	0.0	-
0.9582	59950	0.0	-
0.9590	60000	0.0	-
0.9598	60050	0.0	-
0.9606	60100	0.0	-
0.9614	60150	0.0	-
0.9622	60200	0.0	-
0.9630	60250	0.0	-
0.9638	60300	0.0	-
0.9646	60350	0.0	-
0.9654	60400	0.0	-
0.9662	60450	0.0	-
0.9670	60500	0.0	-
0.9678	60550	0.0	-
0.9686	60600	0.0	-
0.9694	60650	0.0	-
0.9702	60700	0.0	-
0.9710	60750	0.0	-
0.9718	60800	0.0	-
0.9726	60850	0.0	-
0.9734	60900	0.0	-
0.9742	60950	0.0	-
0.9750	61000	0.0	-
0.9758	61050	0.0	-
0.9766	61100	0.0	-
0.9774	61150	0.0	-
0.9782	61200	0.0	-
0.9790	61250	0.0	-
0.9798	61300	0.0	-
0.9806	61350	0.0	-
0.9814	61400	0.0	-
0.9822	61450	0.0	-
0.9830	61500	0.0	-
0.9838	61550	0.0	-
0.9846	61600	0.0	-
0.9854	61650	0.0	-
0.9862	61700	0.0	-
0.9870	61750	0.0	-
0.9878	61800	0.0	-
0.9886	61850	0.0	-
0.9894	61900	0.0	-
0.9902	61950	0.0	-
0.9910	62000	0.0	-
0.9918	62050	0.0	-
0.9926	62100	0.0	-
0.9934	62150	0.0	-
0.9942	62200	0.0	-
0.9950	62250	0.0	-
0.9958	62300	0.0	-
0.9966	62350	0.0	-
0.9974	62400	0.0	-
0.9982	62450	0.0	-
0.9990	62500	0.0	-
0.9998	62550	0.0	-
1.0	62563	-	0.0913

Framework Versions

Python: 3.12.7
SetFit: 1.1.0
Sentence Transformers: 3.3.1
Transformers: 4.47.0
PyTorch: 2.5.1+cu124
Datasets: 3.1.0
Tokenizers: 0.21.0

Citation

BibTeX

@article{https://doi.org/10.48550/arxiv.2209.11055,
    doi = {10.48550/ARXIV.2209.11055},
    url = {https://arxiv.org/abs/2209.11055},
    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {Efficient Few-Shot Learning Without Prompts},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}

naufalso
/

setfit-ctc-bge-base-en-v1.5