Instructions to use ferrazzipietro/admissionTask-Qwen3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ferrazzipietro/admissionTask-Qwen3-8B with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
model = PeftModel.from_pretrained(base_model, "ferrazzipietro/admissionTask-Qwen3-8B")

Transformers

How to use ferrazzipietro/admissionTask-Qwen3-8B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ferrazzipietro/admissionTask-Qwen3-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ferrazzipietro/admissionTask-Qwen3-8B", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ferrazzipietro/admissionTask-Qwen3-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ferrazzipietro/admissionTask-Qwen3-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ferrazzipietro/admissionTask-Qwen3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ferrazzipietro/admissionTask-Qwen3-8B

SGLang

How to use ferrazzipietro/admissionTask-Qwen3-8B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "ferrazzipietro/admissionTask-Qwen3-8B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ferrazzipietro/admissionTask-Qwen3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "ferrazzipietro/admissionTask-Qwen3-8B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ferrazzipietro/admissionTask-Qwen3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ferrazzipietro/admissionTask-Qwen3-8B with Docker Model Runner:
```
docker model run hf.co/ferrazzipietro/admissionTask-Qwen3-8B
```

admissionTask-Qwen3-8B

This model is a fine-tuned version of Qwen/Qwen3-8B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2093
F1 Micro: 0.7824
F1 Macro: 0.7823
F1 Weighted: 0.7823
Class/f1 Results Per Class: {}
Items/f1 Scores Per Item: {'DIRECT OBSERVATION': 0.6722884958179076, 'URGENT': 0.6785080921061819, 'EW EMER.': 0.6261114010061117, 'EU OBSERVATION': 0.6907487827345704, 'DIRECT EMER.': 0.5397348404463259, 'ELECTIVE': 0.7302147690497205, 'SURGICAL SAME DAY ADMISSION': 0.9147601794340925, 'AMBULATORY OBSERVATION': 0.5980392156862745, 'OBSERVATION ADMIT': 0.6042909907211952}

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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	F1 Weighted	Class/f1 Results Per Class	Items/f1 Scores Per Item
11.0707	0.0215	20	2.6602	0.0	0.0	0.0	{}	{'DIRECT OBSERVATION': 0.0, 'URGENT': 0.0, 'EW EMER.': 0.0, 'EU OBSERVATION': 0.0, 'DIRECT EMER.': 0.0, 'ELECTIVE': 0.0, 'SURGICAL SAME DAY ADMISSION': 0.0, 'AMBULATORY OBSERVATION': 0.0, 'OBSERVATION ADMIT': 0.0}
8.6988	0.0431	40	1.9440	0.0	0.0	0.0	{}	{'DIRECT OBSERVATION': 0.0, 'URGENT': 0.0, 'EW EMER.': 0.0, 'EU OBSERVATION': 0.0, 'DIRECT EMER.': 0.0, 'ELECTIVE': 0.0, 'SURGICAL SAME DAY ADMISSION': 0.0, 'AMBULATORY OBSERVATION': 0.0, 'OBSERVATION ADMIT': 0.0}
7.1324	0.0646	60	1.5823	0.6492	0.6490	0.6490	{}	{'DIRECT OBSERVATION': 0.49124391366919273, 'URGENT': 0.5108332709440743, 'EW EMER.': 0.600718817424527, 'EU OBSERVATION': 0.5023380053422972, 'DIRECT EMER.': 0.4397786276155832, 'ELECTIVE': 0.5229998116026481, 'SURGICAL SAME DAY ADMISSION': 0.5718845808106966, 'AMBULATORY OBSERVATION': 0.5732902675907857, 'OBSERVATION ADMIT': 0.5515874150535175}
6.3652	0.0862	80	1.4776	0.6888	0.4590	0.6885	{}	{'DIRECT OBSERVATION': 0.430952380952381, 'URGENT': 0.36495465565233004, 'EW EMER.': 0.48090795266367786, 'EU OBSERVATION': 0.577717879604672, 'DIRECT EMER.': 0.42073529411764704, 'ELECTIVE': 0.516681928312617, 'SURGICAL SAME DAY ADMISSION': 0.5859634218289085, 'AMBULATORY OBSERVATION': 0.5102160996897839, 'OBSERVATION ADMIT': 0.5145857368423433}
6.0742	0.1077	100	1.4227	0.7241	0.3620	0.7240	{}	{'DIRECT OBSERVATION': 0.4207946417367298, 'URGENT': 0.28228585864053846, 'EW EMER.': 0.464512850773669, 'EU OBSERVATION': 0.5952777777777778, 'DIRECT EMER.': 0.4845035425271146, 'ELECTIVE': 0.5614093679552475, 'SURGICAL SAME DAY ADMISSION': 0.832791607906426, 'AMBULATORY OBSERVATION': 0.4971895758814512, 'OBSERVATION ADMIT': 0.559434948536495}
5.8969	0.1293	120	1.3868	0.7319	0.1625	0.7312	{}	{'DIRECT OBSERVATION': 0.41754670999187654, 'URGENT': 0.18908761691373785, 'EW EMER.': 0.3556370919223584, 'EU OBSERVATION': 0.2527313585891506, 'DIRECT EMER.': 0.4538608884496663, 'ELECTIVE': 0.5751609281021046, 'SURGICAL SAME DAY ADMISSION': 0.8234804975463057, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.3753960253456221}
5.7887	0.1508	140	1.3625	0.7370	0.7366	0.7366	{}	{'DIRECT OBSERVATION': 0.41754670999187654, 'URGENT': 0.5323296495883141, 'EW EMER.': 0.5007205133110508, 'EU OBSERVATION': 0.44769067972738197, 'DIRECT EMER.': 0.4512148176118518, 'ELECTIVE': 0.6395895213124482, 'SURGICAL SAME DAY ADMISSION': 0.868294587092297, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5667979269092374}
5.7168	0.1724	160	1.3456	0.7276	0.7254	0.7254	{}	{'DIRECT OBSERVATION': 0.41754670999187654, 'URGENT': 0.5799914371342942, 'EW EMER.': 0.5032702049154698, 'EU OBSERVATION': 0.39071610117707845, 'DIRECT EMER.': 0.44770742902759064, 'ELECTIVE': 0.6048036139304068, 'SURGICAL SAME DAY ADMISSION': 0.8808379597501734, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5561415732279043}
5.5348	0.1939	180	1.3320	0.7414	0.7410	0.7410	{}	{'DIRECT OBSERVATION': 0.44948458310527273, 'URGENT': 0.5723251132997443, 'EW EMER.': 0.5343628942999447, 'EU OBSERVATION': 0.5719785299352862, 'DIRECT EMER.': 0.4571372930866602, 'ELECTIVE': 0.6237014530428798, 'SURGICAL SAME DAY ADMISSION': 0.871649023245662, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5416423512766805}
5.5434	0.2155	200	1.3201	0.7401	0.7388	0.7388	{}	{'DIRECT OBSERVATION': 0.41754670999187654, 'URGENT': 0.555984223117874, 'EW EMER.': 0.5983360142361751, 'EU OBSERVATION': 0.5665882464061524, 'DIRECT EMER.': 0.43869832350489363, 'ELECTIVE': 0.6425126007650758, 'SURGICAL SAME DAY ADMISSION': 0.8891593448313266, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5804781587728814}
5.5055	0.2370	220	1.3113	0.7425	0.7401	0.7401	{}	{'DIRECT OBSERVATION': 0.4901137464130392, 'URGENT': 0.5648344800492504, 'EW EMER.': 0.4986613717652009, 'EU OBSERVATION': 0.6172598704206311, 'DIRECT EMER.': 0.48373475567408397, 'ELECTIVE': 0.7244951778179626, 'SURGICAL SAME DAY ADMISSION': 0.8528368735907886, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5042690324537459}
5.4609	0.2586	240	1.3015	0.7485	0.4984	0.7475	{}	{'DIRECT OBSERVATION': 0.5093208507842654, 'URGENT': 0.5948285398230089, 'EW EMER.': 0.5495996359208374, 'EU OBSERVATION': 0.6267104906277072, 'DIRECT EMER.': 0.4843837644745119, 'ELECTIVE': 0.466942376619796, 'SURGICAL SAME DAY ADMISSION': 0.8793277797552377, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.47188775776405467}
5.4184	0.2801	260	1.2941	0.7510	0.7499	0.7499	{}	{'DIRECT OBSERVATION': 0.5087213447739755, 'URGENT': 0.5508599916909016, 'EW EMER.': 0.588516359812569, 'EU OBSERVATION': 0.6433227504357941, 'DIRECT EMER.': 0.4714655347850103, 'ELECTIVE': 0.6996820293800159, 'SURGICAL SAME DAY ADMISSION': 0.8965359109373627, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5068733295294153}
5.4281	0.3016	280	1.2900	0.7527	0.7523	0.7523	{}	{'DIRECT OBSERVATION': 0.48303005976273305, 'URGENT': 0.6122582759750901, 'EW EMER.': 0.5785711358805465, 'EU OBSERVATION': 0.6171248032232851, 'DIRECT EMER.': 0.4416461916461916, 'ELECTIVE': 0.7026199604972696, 'SURGICAL SAME DAY ADMISSION': 0.8978614829069994, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.575420923245015}
5.4418	0.3232	300	1.2806	0.7565	0.7561	0.7561	{}	{'DIRECT OBSERVATION': 0.5270834466626775, 'URGENT': 0.6229795017595483, 'EW EMER.': 0.5810574418635521, 'EU OBSERVATION': 0.6561833902615488, 'DIRECT EMER.': 0.4969520747100879, 'ELECTIVE': 0.7241071428571428, 'SURGICAL SAME DAY ADMISSION': 0.8837730422192219, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.4478812892483108}
5.2266	0.3447	320	1.2748	0.7545	0.7535	0.7535	{}	{'DIRECT OBSERVATION': 0.5917058677890568, 'URGENT': 0.6118967452300785, 'EW EMER.': 0.5582306871199492, 'EU OBSERVATION': 0.6223400325107138, 'DIRECT EMER.': 0.4805066630605239, 'ELECTIVE': 0.7096221117555004, 'SURGICAL SAME DAY ADMISSION': 0.890099509779971, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.46164396123131635}
5.2773	0.3663	340	1.2700	0.7185	0.7093	0.7092	{}	{'DIRECT OBSERVATION': 0.4180194805194805, 'URGENT': 0.45900064840330684, 'EW EMER.': 0.6462012793346117, 'EU OBSERVATION': 0.4574226242629473, 'DIRECT EMER.': 0.4071900220102715, 'ELECTIVE': 0.5701510333863276, 'SURGICAL SAME DAY ADMISSION': 0.8071354322968993, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.4881804845970965}
5.2695	0.3878	360	1.2640	0.7570	0.7559	0.7559	{}	{'DIRECT OBSERVATION': 0.4476890756302521, 'URGENT': 0.476441289512903, 'EW EMER.': 0.6392429796974153, 'EU OBSERVATION': 0.6324409649657887, 'DIRECT EMER.': 0.43152754210983735, 'ELECTIVE': 0.6613702708170757, 'SURGICAL SAME DAY ADMISSION': 0.8867626440441975, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5914540874742386}
5.1969	0.4094	380	1.2587	0.7591	0.7589	0.7589	{}	{'DIRECT OBSERVATION': 0.4426989551801582, 'URGENT': 0.6105672409935108, 'EW EMER.': 0.6225248171368861, 'EU OBSERVATION': 0.5865498007968127, 'DIRECT EMER.': 0.45150962512664644, 'ELECTIVE': 0.6564552545155994, 'SURGICAL SAME DAY ADMISSION': 0.8958063121487245, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5656859293533839}
5.2109	0.4309	400	1.2551	0.7610	0.7604	0.7604	{}	{'DIRECT OBSERVATION': 0.4860215053763441, 'URGENT': 0.5348173337622352, 'EW EMER.': 0.6321791101413528, 'EU OBSERVATION': 0.669121362826862, 'DIRECT EMER.': 0.44866637471866055, 'ELECTIVE': 0.686325692688365, 'SURGICAL SAME DAY ADMISSION': 0.8990951715505102, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5840586080586081}
5.1316	0.4525	420	1.2508	0.7556	0.7544	0.7544	{}	{'DIRECT OBSERVATION': 0.45688710477442873, 'URGENT': 0.5809164420485176, 'EW EMER.': 0.6019255884756788, 'EU OBSERVATION': 0.6140189283739645, 'DIRECT EMER.': 0.4480411800407839, 'ELECTIVE': 0.6750901275651692, 'SURGICAL SAME DAY ADMISSION': 0.8951874996635932, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5837598325755935}
5.1742	0.4740	440	1.2476	0.7406	0.7371	0.7371	{}	{'DIRECT OBSERVATION': 0.5054071513819898, 'URGENT': 0.5435557688049015, 'EW EMER.': 0.6372131596528096, 'EU OBSERVATION': 0.6754441746077324, 'DIRECT EMER.': 0.4422509911597532, 'ELECTIVE': 0.6966070484789114, 'SURGICAL SAME DAY ADMISSION': 0.9024186427171502, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.45703014933784164}
5.1934	0.4956	460	1.2443	0.7674	0.7673	0.7673	{}	{'DIRECT OBSERVATION': 0.5106409381398523, 'URGENT': 0.5976625740047032, 'EW EMER.': 0.6456949069937454, 'EU OBSERVATION': 0.6816118555574058, 'DIRECT EMER.': 0.4521449630888078, 'ELECTIVE': 0.6945968576072501, 'SURGICAL SAME DAY ADMISSION': 0.8931534119951146, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5632698768197089}
5.1234	0.5171	480	1.2400	0.7712	0.7712	0.7712	{}	{'DIRECT OBSERVATION': 0.5563360169722026, 'URGENT': 0.6274525396986971, 'EW EMER.': 0.6419229935260045, 'EU OBSERVATION': 0.6976410200651472, 'DIRECT EMER.': 0.4764041344815267, 'ELECTIVE': 0.7412431811656618, 'SURGICAL SAME DAY ADMISSION': 0.9010817495936013, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.582554215232839}
5.1648	0.5386	500	1.2373	0.7742	0.7740	0.7740	{}	{'DIRECT OBSERVATION': 0.6041897346714106, 'URGENT': 0.6403455160330849, 'EW EMER.': 0.6159747535533363, 'EU OBSERVATION': 0.7008169936491289, 'DIRECT EMER.': 0.5532071762103712, 'ELECTIVE': 0.7353695170980711, 'SURGICAL SAME DAY ADMISSION': 0.9063451283490576, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.5728993645584031}
5.1301	0.5602	520	1.2338	0.7726	0.7718	0.7718	{}	{'DIRECT OBSERVATION': 0.6721393576483397, 'URGENT': 0.6510376033702605, 'EW EMER.': 0.6239844105271626, 'EU OBSERVATION': 0.6818108231415663, 'DIRECT EMER.': 0.5898518303020576, 'ELECTIVE': 0.7533536497789477, 'SURGICAL SAME DAY ADMISSION': 0.9063871661077518, 'AMBULATORY OBSERVATION': 0.49565723309645515, 'OBSERVATION ADMIT': 0.5319148936170213}
5.0402	0.5817	540	1.2309	0.7721	0.7709	0.7709	{}	{'DIRECT OBSERVATION': 0.6953089812588267, 'URGENT': 0.6507462686567165, 'EW EMER.': 0.6372219145362863, 'EU OBSERVATION': 0.6561833902615488, 'DIRECT EMER.': 0.580909357092065, 'ELECTIVE': 0.7442125217096625, 'SURGICAL SAME DAY ADMISSION': 0.9052467285580812, 'AMBULATORY OBSERVATION': 0.5747852860152325, 'OBSERVATION ADMIT': 0.5303826738316235}
5.048	0.6033	560	1.2282	0.7737	0.7734	0.7734	{}	{'DIRECT OBSERVATION': 0.6625490022369382, 'URGENT': 0.6544381080174438, 'EW EMER.': 0.6346619381697634, 'EU OBSERVATION': 0.6851760717410323, 'DIRECT EMER.': 0.5422241560607709, 'ELECTIVE': 0.7302479402037811, 'SURGICAL SAME DAY ADMISSION': 0.9021104120575221, 'AMBULATORY OBSERVATION': 0.5421126105165193, 'OBSERVATION ADMIT': 0.5997298076681963}
5.0809	0.6248	580	1.2259	0.7747	0.7747	0.7747	{}	{'DIRECT OBSERVATION': 0.5475926102175269, 'URGENT': 0.6462648920914176, 'EW EMER.': 0.6258496564230858, 'EU OBSERVATION': 0.6699465333582288, 'DIRECT EMER.': 0.5155818354943751, 'ELECTIVE': 0.7251462353764624, 'SURGICAL SAME DAY ADMISSION': 0.905336707330891, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.6069049104049493}
5.068	0.6464	600	1.2237	0.7701	0.7698	0.7698	{}	{'DIRECT OBSERVATION': 0.49288843301129776, 'URGENT': 0.5873635315121736, 'EW EMER.': 0.6212000848973651, 'EU OBSERVATION': 0.6857216716932357, 'DIRECT EMER.': 0.4731215728893938, 'ELECTIVE': 0.7310670370942017, 'SURGICAL SAME DAY ADMISSION': 0.911597322242541, 'AMBULATORY OBSERVATION': 0.4701130856219709, 'OBSERVATION ADMIT': 0.6022240879030238}
5.0441	0.6679	620	1.2213	0.7784	0.7775	0.7775	{}	{'DIRECT OBSERVATION': 0.649885459368218, 'URGENT': 0.6701849273849689, 'EW EMER.': 0.6091853041873685, 'EU OBSERVATION': 0.6892716767193755, 'DIRECT EMER.': 0.6403527058624673, 'ELECTIVE': 0.7417875248370505, 'SURGICAL SAME DAY ADMISSION': 0.8976352698462231, 'AMBULATORY OBSERVATION': 0.5083720882482778, 'OBSERVATION ADMIT': 0.5493709327548807}
5.1328	0.6895	640	1.2197	0.7758	0.7756	0.7756	{}	{'DIRECT OBSERVATION': 0.6618712156497438, 'URGENT': 0.6535133264105226, 'EW EMER.': 0.6230099815112773, 'EU OBSERVATION': 0.6839134141495111, 'DIRECT EMER.': 0.4973771077876422, 'ELECTIVE': 0.7386792165716294, 'SURGICAL SAME DAY ADMISSION': 0.9020304019720198, 'AMBULATORY OBSERVATION': 0.49565723309645515, 'OBSERVATION ADMIT': 0.5821470723245172}
5.0187	0.7110	660	1.2184	0.7774	0.7773	0.7773	{}	{'DIRECT OBSERVATION': 0.5829820093649881, 'URGENT': 0.6742044063647491, 'EW EMER.': 0.6307416003744571, 'EU OBSERVATION': 0.6810694910333586, 'DIRECT EMER.': 0.47895125282280504, 'ELECTIVE': 0.7310670370942017, 'SURGICAL SAME DAY ADMISSION': 0.9084263477190786, 'AMBULATORY OBSERVATION': 0.48322261965593594, 'OBSERVATION ADMIT': 0.6182626456806439}
5.0332	0.7326	680	1.2168	0.7762	0.7755	0.7755	{}	{'DIRECT OBSERVATION': 0.7059308755760368, 'URGENT': 0.6378708493464009, 'EW EMER.': 0.6268354941141383, 'EU OBSERVATION': 0.6686153800220709, 'DIRECT EMER.': 0.550576936287708, 'ELECTIVE': 0.7361024844720496, 'SURGICAL SAME DAY ADMISSION': 0.9041679093026975, 'AMBULATORY OBSERVATION': 0.6427771895325972, 'OBSERVATION ADMIT': 0.5722860992982272}
4.9902	0.7541	700	1.2154	0.7794	0.7792	0.7792	{}	{'DIRECT OBSERVATION': 0.5726005529867008, 'URGENT': 0.6481958762886597, 'EW EMER.': 0.6174061144504813, 'EU OBSERVATION': 0.6793106480260266, 'DIRECT EMER.': 0.5027858988264985, 'ELECTIVE': 0.698073701842546, 'SURGICAL SAME DAY ADMISSION': 0.9159091374128092, 'AMBULATORY OBSERVATION': 0.49565723309645515, 'OBSERVATION ADMIT': 0.6125755967682556}
5.0062	0.7757	720	1.2140	0.7824	0.7821	0.7821	{}	{'DIRECT OBSERVATION': 0.646814040283465, 'URGENT': 0.6813578280586998, 'EW EMER.': 0.621626946016361, 'EU OBSERVATION': 0.6967312862600821, 'DIRECT EMER.': 0.5523545706371191, 'ELECTIVE': 0.7262151339409003, 'SURGICAL SAME DAY ADMISSION': 0.909477413066778, 'AMBULATORY OBSERVATION': 0.5791874554526015, 'OBSERVATION ADMIT': 0.5883994610794907}
5.0582	0.7972	740	1.2128	0.7828	0.7824	0.7824	{}	{'DIRECT OBSERVATION': 0.6913604373258686, 'URGENT': 0.6737512031880415, 'EW EMER.': 0.6243813108197744, 'EU OBSERVATION': 0.6868711589710121, 'DIRECT EMER.': 0.5602991257943335, 'ELECTIVE': 0.7348336252189142, 'SURGICAL SAME DAY ADMISSION': 0.9136952626883993, 'AMBULATORY OBSERVATION': 0.6154408280935058, 'OBSERVATION ADMIT': 0.5936834997544607}
4.9742	0.8187	760	1.2122	0.7820	0.7819	0.7819	{}	{'DIRECT OBSERVATION': 0.6699175739591183, 'URGENT': 0.6515968340067526, 'EW EMER.': 0.628918993998359, 'EU OBSERVATION': 0.6968054224182908, 'DIRECT EMER.': 0.5704802406389379, 'ELECTIVE': 0.7349771367238616, 'SURGICAL SAME DAY ADMISSION': 0.9126642075972303, 'AMBULATORY OBSERVATION': 0.5891573385553115, 'OBSERVATION ADMIT': 0.585528547201809}
5.0719	0.8403	780	1.2111	0.7837	0.7835	0.7835	{}	{'DIRECT OBSERVATION': 0.6701842682035879, 'URGENT': 0.682295667225618, 'EW EMER.': 0.6206611340440578, 'EU OBSERVATION': 0.6881958902357155, 'DIRECT EMER.': 0.5846449512929186, 'ELECTIVE': 0.7277506680608807, 'SURGICAL SAME DAY ADMISSION': 0.9115583920767372, 'AMBULATORY OBSERVATION': 0.5858585858585859, 'OBSERVATION ADMIT': 0.5860527552297545}
5.0152	0.8618	800	1.2106	0.7825	0.7824	0.7824	{}	{'DIRECT OBSERVATION': 0.640523644466452, 'URGENT': 0.6659993326659994, 'EW EMER.': 0.6280729103235497, 'EU OBSERVATION': 0.6917923636982632, 'DIRECT EMER.': 0.56121616659961, 'ELECTIVE': 0.7375822921549844, 'SURGICAL SAME DAY ADMISSION': 0.9158075879268572, 'AMBULATORY OBSERVATION': 0.5434038840471732, 'OBSERVATION ADMIT': 0.5962183381993214}
5.0301	0.8834	820	1.2101	0.7838	0.7838	0.7838	{}	{'DIRECT OBSERVATION': 0.6785689333954354, 'URGENT': 0.6680822498697341, 'EW EMER.': 0.6267216141791527, 'EU OBSERVATION': 0.6950688570716366, 'DIRECT EMER.': 0.5329479768786127, 'ELECTIVE': 0.7341445427728615, 'SURGICAL SAME DAY ADMISSION': 0.9189475862782636, 'AMBULATORY OBSERVATION': 0.5769186994954285, 'OBSERVATION ADMIT': 0.6009487307289071}
4.9824	0.9049	840	1.2098	0.7810	0.7810	0.7810	{}	{'DIRECT OBSERVATION': 0.6733466356024083, 'URGENT': 0.6576353622773765, 'EW EMER.': 0.6297524325418435, 'EU OBSERVATION': 0.690542356873002, 'DIRECT EMER.': 0.5264347369981414, 'ELECTIVE': 0.7365773321042337, 'SURGICAL SAME DAY ADMISSION': 0.916839199447895, 'AMBULATORY OBSERVATION': 0.5980392156862745, 'OBSERVATION ADMIT': 0.6009503862351643}
5.0387	0.9265	860	1.2096	0.7844	0.7843	0.7843	{}	{'DIRECT OBSERVATION': 0.6785689333954354, 'URGENT': 0.6658771947926605, 'EW EMER.': 0.6310673602444206, 'EU OBSERVATION': 0.6955263166867263, 'DIRECT EMER.': 0.5232159321408814, 'ELECTIVE': 0.7398989898989898, 'SURGICAL SAME DAY ADMISSION': 0.9179288888026752, 'AMBULATORY OBSERVATION': 0.5980392156862745, 'OBSERVATION ADMIT': 0.6131810617918085}
4.9652	0.9480	880	1.2093	0.7811	0.7811	0.7811	{}	{'DIRECT OBSERVATION': 0.6684369547640325, 'URGENT': 0.6625780710287753, 'EW EMER.': 0.6292598967297762, 'EU OBSERVATION': 0.6918469784193063, 'DIRECT EMER.': 0.5275753290547156, 'ELECTIVE': 0.7355753238888842, 'SURGICAL SAME DAY ADMISSION': 0.9179012844768573, 'AMBULATORY OBSERVATION': 0.587595589960122, 'OBSERVATION ADMIT': 0.6062129414797628}
5.0512	0.9696	900	1.2092	0.7817	0.7816	0.7816	{}	{'DIRECT OBSERVATION': 0.669716787989081, 'URGENT': 0.6680695847362514, 'EW EMER.': 0.6307416003744571, 'EU OBSERVATION': 0.6931669809952126, 'DIRECT EMER.': 0.5314657652474108, 'ELECTIVE': 0.7298826777087646, 'SURGICAL SAME DAY ADMISSION': 0.9168546206492068, 'AMBULATORY OBSERVATION': 0.5980392156862745, 'OBSERVATION ADMIT': 0.6036321807310698}
5.016	0.9911	920	1.2093	0.7832	0.7832	0.7832	{}	{'DIRECT OBSERVATION': 0.6739887429431584, 'URGENT': 0.6751812604573341, 'EW EMER.': 0.6297524325418435, 'EU OBSERVATION': 0.6918469784193063, 'DIRECT EMER.': 0.536124917626297, 'ELECTIVE': 0.7437745386520196, 'SURGICAL SAME DAY ADMISSION': 0.9157916078471127, 'AMBULATORY OBSERVATION': 0.6082574623094803, 'OBSERVATION ADMIT': 0.607591405662091}

Framework versions

PEFT 0.18.1
Transformers 4.51.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.0

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