GIST-small-c4-en-classla_ParlaCAP

A fine-tuned version of the bert architecture (BertForSequenceClassification) optimized for the text-classification task.

• Model type: bert
• Problem Type: single_label_classification
• Number of Labels: 22
• Vocabulary Size: 30522
• License: MIT

Use

To get started with this model in Python using the Hugging Face Transformers library, run the following code:

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_id = "agentlans/GIST-small-c4-en-classla_ParlaCAP"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)

text = "Replace this with your input text."
inputs = tokenizer(text, return_tensors="pt")

with torch.no_grad():
    logits = model(**inputs).logits

predicted_class_id = logits.argmax().item()
predicted_class_name = model.config.id2label[predicted_class_id]

print(f"Predicted Class ID: {predicted_class_id}")
print(f"Predicted Class Name: {predicted_class_name}")

Intended Uses & Limitations

Intended Use

This model is designed for sequence classification tasks. Below are the specific class labels mapped to their corresponding IDs:

Label ID	Label Name
0	Agriculture
1	Civil Rights
2	Culture
3	Defense
4	Domestic Commerce
5	Education
6	Energy
7	Environment
8	Foreign Trade
9	Government Operations
10	Health
11	Housing
12	Immigration
13	International Affairs
14	Labor
15	Law and Crime
16	Macroeconomics
17	Other
18	Public Lands
19	Social Welfare
20	Technology
21	Transportation

Training Details

Hyperparameters

The following hyperparameters were used during fine-tuning:

• Learning Rate: 5e-05
• Train Batch Size: 8
• Eval Batch Size: 8
• Optimizer: OptimizerNames.ADAMW_TORCH_FUSED
• Number of Epochs: 3.0
• Mixed Precision: BF16

Show Advanced Training Configuration

Optimization & Regularization

• Gradient Accumulation Steps: 1
• Learning Rate Scheduler: SchedulerType.LINEAR
• Warmup Steps: 0
• Warmup Ratio: None
• Weight Decay: 0.0
• Max Gradient Norm: 1.0

Hardware & Reproducibility

• Number of GPUs: 1
• Seed: 42

Training Results & Evaluation

During fine-tuning, the model achieved the following results on the evaluation set:

Metric	Value
Train Loss	0.5913
Validation Loss	0.7073
Validation F1 Score	0.7949
Total FLOPs	3.4623e+16

For performance on the test set, click here.

Speed Performance

• Training Runtime: 4548.9417 seconds
• Train Samples per Second: 462.006
• Evaluation Runtime: 49.5493 seconds
• Eval Samples per Second: 1767.349

Show Detailed Training Logs

Training Logs History

Step	Epoch	Learning Rate	Training Loss	Validation Loss	Validation F1
500	0.006	4.9905e-05	2.168	N/A	N/A
1000	0.011	4.9810e-05	1.4219	N/A	N/A
1500	0.017	4.9715e-05	1.2196	N/A	N/A
2000	0.023	4.9620e-05	1.1147	N/A	N/A
2500	0.029	4.9524e-05	1.0641	N/A	N/A
3000	0.034	4.9429e-05	1.0098	N/A	N/A
3500	0.04	4.9334e-05	0.96	N/A	N/A
4000	0.046	4.9239e-05	0.9432	N/A	N/A
4500	0.051	4.9144e-05	0.9315	N/A	N/A
5000	0.057	4.9049e-05	0.8722	N/A	N/A
5500	0.063	4.8953e-05	0.9085	N/A	N/A
6000	0.069	4.8858e-05	0.8721	N/A	N/A
6500	0.074	4.8763e-05	0.8691	N/A	N/A
7000	0.08	4.8668e-05	0.8439	N/A	N/A
7500	0.086	4.8573e-05	0.8559	N/A	N/A
8000	0.091	4.8478e-05	0.8378	N/A	N/A
8500	0.097	4.8382e-05	0.8318	N/A	N/A
9000	0.103	4.8287e-05	0.803	N/A	N/A
9500	0.108	4.8192e-05	0.8421	N/A	N/A
10000	0.114	4.8097e-05	0.7915	N/A	N/A
10500	0.12	4.8002e-05	0.8655	N/A	N/A
11000	0.126	4.7907e-05	0.8285	N/A	N/A
11500	0.131	4.7811e-05	0.803	N/A	N/A
12000	0.137	4.7716e-05	0.8267	N/A	N/A
12500	0.143	4.7621e-05	0.8086	N/A	N/A
13000	0.148	4.7526e-05	0.8017	N/A	N/A
13500	0.154	4.7431e-05	0.7598	N/A	N/A
14000	0.16	4.7336e-05	0.8151	N/A	N/A
14500	0.166	4.7240e-05	0.8126	N/A	N/A
15000	0.171	4.7145e-05	0.79	N/A	N/A
15500	0.177	4.7050e-05	0.7979	N/A	N/A
16000	0.183	4.6955e-05	0.7982	N/A	N/A
16500	0.188	4.6860e-05	0.7546	N/A	N/A
17000	0.194	4.6765e-05	0.7905	N/A	N/A
17500	0.2	4.6669e-05	0.7748	N/A	N/A
18000	0.206	4.6574e-05	0.8059	N/A	N/A
18500	0.211	4.6479e-05	0.7644	N/A	N/A
19000	0.217	4.6384e-05	0.761	N/A	N/A
19500	0.223	4.6289e-05	0.7862	N/A	N/A
20000	0.228	4.6194e-05	0.798	N/A	N/A
20500	0.234	4.6099e-05	0.7795	N/A	N/A
21000	0.24	4.6003e-05	0.7909	N/A	N/A
21500	0.246	4.5908e-05	0.7736	N/A	N/A
22000	0.251	4.5813e-05	0.7658	N/A	N/A
22500	0.257	4.5718e-05	0.795	N/A	N/A
23000	0.263	4.5623e-05	0.7768	N/A	N/A
23500	0.268	4.5528e-05	0.7508	N/A	N/A
24000	0.274	4.5432e-05	0.7733	N/A	N/A
24500	0.28	4.5337e-05	0.756	N/A	N/A
25000	0.285	4.5242e-05	0.7606	N/A	N/A
25500	0.291	4.5147e-05	0.7789	N/A	N/A
26000	0.297	4.5052e-05	0.7524	N/A	N/A
26500	0.303	4.4957e-05	0.7697	N/A	N/A
27000	0.308	4.4861e-05	0.7455	N/A	N/A
27500	0.314	4.4766e-05	0.7428	N/A	N/A
28000	0.32	4.4671e-05	0.7638	N/A	N/A
28500	0.325	4.4576e-05	0.7694	N/A	N/A
29000	0.331	4.4481e-05	0.7291	N/A	N/A
29500	0.337	4.4386e-05	0.7478	N/A	N/A
30000	0.343	4.4290e-05	0.7272	N/A	N/A
30500	0.348	4.4195e-05	0.7767	N/A	N/A
31000	0.354	4.4100e-05	0.7185	N/A	N/A
31500	0.36	4.4005e-05	0.7378	N/A	N/A
32000	0.365	4.3910e-05	0.7756	N/A	N/A
32500	0.371	4.3815e-05	0.7361	N/A	N/A
33000	0.377	4.3719e-05	0.7526	N/A	N/A
33500	0.383	4.3624e-05	0.757	N/A	N/A
34000	0.388	4.3529e-05	0.727	N/A	N/A
34500	0.394	4.3434e-05	0.737	N/A	N/A
35000	0.4	4.3339e-05	0.7168	N/A	N/A
35500	0.405	4.3244e-05	0.7498	N/A	N/A
36000	0.411	4.3148e-05	0.7494	N/A	N/A
36500	0.417	4.3053e-05	0.7659	N/A	N/A
37000	0.423	4.2958e-05	0.7228	N/A	N/A
37500	0.428	4.2863e-05	0.7327	N/A	N/A
38000	0.434	4.2768e-05	0.7412	N/A	N/A
38500	0.44	4.2673e-05	0.7206	N/A	N/A
39000	0.445	4.2577e-05	0.7424	N/A	N/A
39500	0.451	4.2482e-05	0.6976	N/A	N/A
40000	0.457	4.2387e-05	0.7318	N/A	N/A
40500	0.462	4.2292e-05	0.7323	N/A	N/A
41000	0.468	4.2197e-05	0.7521	N/A	N/A
41500	0.474	4.2102e-05	0.7467	N/A	N/A
42000	0.48	4.2006e-05	0.7085	N/A	N/A
42500	0.485	4.1911e-05	0.7381	N/A	N/A
43000	0.491	4.1816e-05	0.7613	N/A	N/A
43500	0.497	4.1721e-05	0.7585	N/A	N/A
44000	0.502	4.1626e-05	0.7329	N/A	N/A
44500	0.508	4.1531e-05	0.7399	N/A	N/A
45000	0.514	4.1436e-05	0.7304	N/A	N/A
45500	0.52	4.1340e-05	0.7255	N/A	N/A
46000	0.525	4.1245e-05	0.7293	N/A	N/A
46500	0.531	4.1150e-05	0.7136	N/A	N/A
47000	0.537	4.1055e-05	0.6997	N/A	N/A
47500	0.542	4.0960e-05	0.7479	N/A	N/A
48000	0.548	4.0865e-05	0.7297	N/A	N/A
48500	0.554	4.0769e-05	0.7399	N/A	N/A
49000	0.56	4.0674e-05	0.7186	N/A	N/A
49500	0.565	4.0579e-05	0.7562	N/A	N/A
50000	0.571	4.0484e-05	0.7324	N/A	N/A
50500	0.577	4.0389e-05	0.7227	N/A	N/A
51000	0.582	4.0294e-05	0.708	N/A	N/A
51500	0.588	4.0198e-05	0.7355	N/A	N/A
52000	0.594	4.0103e-05	0.7153	N/A	N/A
52500	0.6	4.0008e-05	0.6838	N/A	N/A
53000	0.605	3.9913e-05	0.7382	N/A	N/A
53500	0.611	3.9818e-05	0.72	N/A	N/A
54000	0.617	3.9723e-05	0.744	N/A	N/A
54500	0.622	3.9627e-05	0.7272	N/A	N/A
55000	0.628	3.9532e-05	0.731	N/A	N/A
55500	0.634	3.9437e-05	0.7319	N/A	N/A
56000	0.639	3.9342e-05	0.6995	N/A	N/A
56500	0.645	3.9247e-05	0.7203	N/A	N/A
57000	0.651	3.9152e-05	0.6999	N/A	N/A
57500	0.657	3.9056e-05	0.7119	N/A	N/A
58000	0.662	3.8961e-05	0.7101	N/A	N/A
58500	0.668	3.8866e-05	0.7286	N/A	N/A
59000	0.674	3.8771e-05	0.7263	N/A	N/A
59500	0.679	3.8676e-05	0.7177	N/A	N/A
60000	0.685	3.8581e-05	0.7	N/A	N/A
60500	0.691	3.8485e-05	0.725	N/A	N/A
61000	0.697	3.8390e-05	0.7139	N/A	N/A
61500	0.702	3.8295e-05	0.6962	N/A	N/A
62000	0.708	3.8200e-05	0.6938	N/A	N/A
62500	0.714	3.8105e-05	0.7016	N/A	N/A
63000	0.719	3.8010e-05	0.7139	N/A	N/A
63500	0.725	3.7914e-05	0.7131	N/A	N/A
64000	0.731	3.7819e-05	0.7049	N/A	N/A
64500	0.737	3.7724e-05	0.7383	N/A	N/A
65000	0.742	3.7629e-05	0.7052	N/A	N/A
65500	0.748	3.7534e-05	0.7217	N/A	N/A
66000	0.754	3.7439e-05	0.7184	N/A	N/A
66500	0.759	3.7344e-05	0.7133	N/A	N/A
67000	0.765	3.7248e-05	0.6955	N/A	N/A
67500	0.771	3.7153e-05	0.7008	N/A	N/A
68000	0.777	3.7058e-05	0.7094	N/A	N/A
68500	0.782	3.6963e-05	0.7096	N/A	N/A
69000	0.788	3.6868e-05	0.7208	N/A	N/A
69500	0.794	3.6773e-05	0.7224	N/A	N/A
70000	0.799	3.6677e-05	0.6675	N/A	N/A
70500	0.805	3.6582e-05	0.7072	N/A	N/A
71000	0.811	3.6487e-05	0.6947	N/A	N/A
71500	0.816	3.6392e-05	0.6986	N/A	N/A
72000	0.822	3.6297e-05	0.6974	N/A	N/A
72500	0.828	3.6202e-05	0.7135	N/A	N/A
73000	0.834	3.6106e-05	0.6985	N/A	N/A
73500	0.839	3.6011e-05	0.7115	N/A	N/A
74000	0.845	3.5916e-05	0.704	N/A	N/A
74500	0.851	3.5821e-05	0.7202	N/A	N/A
75000	0.856	3.5726e-05	0.706	N/A	N/A
75500	0.862	3.5631e-05	0.6748	N/A	N/A
76000	0.868	3.5535e-05	0.6864	N/A	N/A
76500	0.874	3.5440e-05	0.7139	N/A	N/A
77000	0.879	3.5345e-05	0.6659	N/A	N/A
77500	0.885	3.5250e-05	0.6743	N/A	N/A
78000	0.891	3.5155e-05	0.6896	N/A	N/A
78500	0.896	3.5060e-05	0.7106	N/A	N/A
79000	0.902	3.4964e-05	0.6904	N/A	N/A
79500	0.908	3.4869e-05	0.707	N/A	N/A
80000	0.914	3.4774e-05	0.6718	N/A	N/A
80500	0.919	3.4679e-05	0.7243	N/A	N/A
81000	0.925	3.4584e-05	0.6743	N/A	N/A
81500	0.931	3.4489e-05	0.6893	N/A	N/A
82000	0.936	3.4393e-05	0.708	N/A	N/A
82500	0.942	3.4298e-05	0.6703	N/A	N/A
83000	0.948	3.4203e-05	0.6472	N/A	N/A
83500	0.954	3.4108e-05	0.6885	N/A	N/A
84000	0.959	3.4013e-05	0.6996	N/A	N/A
84500	0.965	3.3918e-05	0.731	N/A	N/A
85000	0.971	3.3822e-05	0.6775	N/A	N/A
85500	0.976	3.3727e-05	0.6504	N/A	N/A
86000	0.982	3.3632e-05	0.7029	N/A	N/A
86500	0.988	3.3537e-05	0.7008	N/A	N/A
87000	0.994	3.3442e-05	0.7123	N/A	N/A
87500	0.999	3.3347e-05	0.6963	N/A	N/A
87569	1.0	N/A	N/A	0.658	0.7762
88000	1.005	3.3251e-05	0.5787	N/A	N/A
88500	1.011	3.3156e-05	0.5938	N/A	N/A
89000	1.016	3.3061e-05	0.5645	N/A	N/A
89500	1.022	3.2966e-05	0.554	N/A	N/A
90000	1.028	3.2871e-05	0.6066	N/A	N/A
90500	1.033	3.2776e-05	0.5736	N/A	N/A
91000	1.039	3.2681e-05	0.6027	N/A	N/A
91500	1.045	3.2585e-05	0.582	N/A	N/A
92000	1.051	3.2490e-05	0.5683	N/A	N/A
92500	1.056	3.2395e-05	0.5863	N/A	N/A
93000	1.062	3.2300e-05	0.5708	N/A	N/A
93500	1.068	3.2205e-05	0.5839	N/A	N/A
94000	1.073	3.2110e-05	0.5776	N/A	N/A
94500	1.079	3.2014e-05	0.5881	N/A	N/A
95000	1.085	3.1919e-05	0.599	N/A	N/A
95500	1.091	3.1824e-05	0.5918	N/A	N/A
96000	1.096	3.1729e-05	0.5725	N/A	N/A
96500	1.102	3.1634e-05	0.5652	N/A	N/A
97000	1.108	3.1539e-05	0.5684	N/A	N/A
97500	1.113	3.1443e-05	0.5895	N/A	N/A
98000	1.119	3.1348e-05	0.5977	N/A	N/A
98500	1.125	3.1253e-05	0.6005	N/A	N/A
99000	1.131	3.1158e-05	0.5902	N/A	N/A
99500	1.136	3.1063e-05	0.5661	N/A	N/A
100000	1.142	3.0968e-05	0.5708	N/A	N/A
100500	1.148	3.0872e-05	0.5811	N/A	N/A
101000	1.153	3.0777e-05	0.5587	N/A	N/A
101500	1.159	3.0682e-05	0.5687	N/A	N/A
102000	1.165	3.0587e-05	0.5907	N/A	N/A
102500	1.171	3.0492e-05	0.5673	N/A	N/A
103000	1.176	3.0397e-05	0.5744	N/A	N/A
103500	1.182	3.0301e-05	0.5847	N/A	N/A
104000	1.188	3.0206e-05	0.5779	N/A	N/A
104500	1.193	3.0111e-05	0.6032	N/A	N/A
105000	1.199	3.0016e-05	0.5734	N/A	N/A
105500	1.205	2.9921e-05	0.5685	N/A	N/A
106000	1.21	2.9826e-05	0.5715	N/A	N/A
106500	1.216	2.9730e-05	0.5711	N/A	N/A
107000	1.222	2.9635e-05	0.565	N/A	N/A
107500	1.228	2.9540e-05	0.5612	N/A	N/A
108000	1.233	2.9445e-05	0.5898	N/A	N/A
108500	1.239	2.9350e-05	0.5794	N/A	N/A
109000	1.245	2.9255e-05	0.5816	N/A	N/A
109500	1.25	2.9159e-05	0.5384	N/A	N/A
110000	1.256	2.9064e-05	0.5571	N/A	N/A
110500	1.262	2.8969e-05	0.5662	N/A	N/A
111000	1.268	2.8874e-05	0.563	N/A	N/A
111500	1.273	2.8779e-05	0.5801	N/A	N/A
112000	1.279	2.8684e-05	0.5839	N/A	N/A
112500	1.285	2.8589e-05	0.5562	N/A	N/A
113000	1.29	2.8493e-05	0.5897	N/A	N/A
113500	1.296	2.8398e-05	0.5899	N/A	N/A
114000	1.302	2.8303e-05	0.6035	N/A	N/A
114500	1.308	2.8208e-05	0.5509	N/A	N/A
115000	1.313	2.8113e-05	0.5773	N/A	N/A
115500	1.319	2.8018e-05	0.6098	N/A	N/A
116000	1.325	2.7922e-05	0.5773	N/A	N/A
116500	1.33	2.7827e-05	0.5803	N/A	N/A
117000	1.336	2.7732e-05	0.5811	N/A	N/A
117500	1.342	2.7637e-05	0.5614	N/A	N/A
118000	1.348	2.7542e-05	0.5871	N/A	N/A
118500	1.353	2.7447e-05	0.6058	N/A	N/A
119000	1.359	2.7351e-05	0.5617	N/A	N/A
119500	1.365	2.7256e-05	0.5849	N/A	N/A
120000	1.37	2.7161e-05	0.5624	N/A	N/A
120500	1.376	2.7066e-05	0.5967	N/A	N/A
121000	1.382	2.6971e-05	0.5629	N/A	N/A
121500	1.387	2.6876e-05	0.6049	N/A	N/A
122000	1.393	2.6780e-05	0.5736	N/A	N/A
122500	1.399	2.6685e-05	0.5622	N/A	N/A
123000	1.405	2.6590e-05	0.5822	N/A	N/A
123500	1.41	2.6495e-05	0.5735	N/A	N/A
124000	1.416	2.6400e-05	0.5866	N/A	N/A
124500	1.422	2.6305e-05	0.5726	N/A	N/A
125000	1.427	2.6209e-05	0.582	N/A	N/A
125500	1.433	2.6114e-05	0.5697	N/A	N/A
126000	1.439	2.6019e-05	0.5959	N/A	N/A
126500	1.445	2.5924e-05	0.5826	N/A	N/A
127000	1.45	2.5829e-05	0.5625	N/A	N/A
127500	1.456	2.5734e-05	0.5817	N/A	N/A
128000	1.462	2.5638e-05	0.5629	N/A	N/A
128500	1.467	2.5543e-05	0.5587	N/A	N/A
129000	1.473	2.5448e-05	0.5655	N/A	N/A
129500	1.479	2.5353e-05	0.5782	N/A	N/A
130000	1.485	2.5258e-05	0.592	N/A	N/A
130500	1.49	2.5163e-05	0.569	N/A	N/A
131000	1.496	2.5067e-05	0.5683	N/A	N/A
131500	1.502	2.4972e-05	0.5642	N/A	N/A
132000	1.507	2.4877e-05	0.5586	N/A	N/A
132500	1.513	2.4782e-05	0.5695	N/A	N/A
133000	1.519	2.4687e-05	0.5629	N/A	N/A
133500	1.525	2.4592e-05	0.5864	N/A	N/A
134000	1.53	2.4496e-05	0.5835	N/A	N/A
134500	1.536	2.4401e-05	0.5684	N/A	N/A
135000	1.542	2.4306e-05	0.5829	N/A	N/A
135500	1.547	2.4211e-05	0.5544	N/A	N/A
136000	1.553	2.4116e-05	0.5934	N/A	N/A
136500	1.559	2.4021e-05	0.572	N/A	N/A
137000	1.564	2.3926e-05	0.5602	N/A	N/A
137500	1.57	2.3830e-05	0.5445	N/A	N/A
138000	1.576	2.3735e-05	0.5512	N/A	N/A
138500	1.582	2.3640e-05	0.558	N/A	N/A
139000	1.587	2.3545e-05	0.5767	N/A	N/A
139500	1.593	2.3450e-05	0.5804	N/A	N/A
140000	1.599	2.3355e-05	0.5588	N/A	N/A
140500	1.604	2.3259e-05	0.5465	N/A	N/A
141000	1.61	2.3164e-05	0.5659	N/A	N/A
141500	1.616	2.3069e-05	0.572	N/A	N/A
142000	1.622	2.2974e-05	0.5773	N/A	N/A
142500	1.627	2.2879e-05	0.575	N/A	N/A
143000	1.633	2.2784e-05	0.5578	N/A	N/A
143500	1.639	2.2688e-05	0.5852	N/A	N/A
144000	1.644	2.2593e-05	0.5639	N/A	N/A
144500	1.65	2.2498e-05	0.5616	N/A	N/A
145000	1.656	2.2403e-05	0.5963	N/A	N/A
145500	1.662	2.2308e-05	0.5515	N/A	N/A
146000	1.667	2.2213e-05	0.5362	N/A	N/A
146500	1.673	2.2117e-05	0.5767	N/A	N/A
147000	1.679	2.2022e-05	0.5392	N/A	N/A
147500	1.684	2.1927e-05	0.5736	N/A	N/A
148000	1.69	2.1832e-05	0.5794	N/A	N/A
148500	1.696	2.1737e-05	0.5756	N/A	N/A
149000	1.702	2.1642e-05	0.6041	N/A	N/A
149500	1.707	2.1546e-05	0.5554	N/A	N/A
150000	1.713	2.1451e-05	0.5743	N/A	N/A
150500	1.719	2.1356e-05	0.5841	N/A	N/A
151000	1.724	2.1261e-05	0.5639	N/A	N/A
151500	1.73	2.1166e-05	0.5626	N/A	N/A
152000	1.736	2.1071e-05	0.5692	N/A	N/A
152500	1.741	2.0975e-05	0.5763	N/A	N/A
153000	1.747	2.0880e-05	0.581	N/A	N/A
153500	1.753	2.0785e-05	0.5762	N/A	N/A
154000	1.759	2.0690e-05	0.5663	N/A	N/A
154500	1.764	2.0595e-05	0.5935	N/A	N/A
155000	1.77	2.0500e-05	0.553	N/A	N/A
155500	1.776	2.0404e-05	0.5615	N/A	N/A
156000	1.781	2.0309e-05	0.5705	N/A	N/A
156500	1.787	2.0214e-05	0.554	N/A	N/A
157000	1.793	2.0119e-05	0.5826	N/A	N/A
157500	1.799	2.0024e-05	0.5841	N/A	N/A
158000	1.804	1.9929e-05	0.566	N/A	N/A
158500	1.81	1.9834e-05	0.5888	N/A	N/A
159000	1.816	1.9738e-05	0.5374	N/A	N/A
159500	1.821	1.9643e-05	0.5716	N/A	N/A
160000	1.827	1.9548e-05	0.5691	N/A	N/A
160500	1.833	1.9453e-05	0.5647	N/A	N/A
161000	1.839	1.9358e-05	0.5449	N/A	N/A
161500	1.844	1.9263e-05	0.5762	N/A	N/A
162000	1.85	1.9167e-05	0.5301	N/A	N/A
162500	1.856	1.9072e-05	0.5759	N/A	N/A
163000	1.861	1.8977e-05	0.5654	N/A	N/A
163500	1.867	1.8882e-05	0.5698	N/A	N/A
164000	1.873	1.8787e-05	0.5473	N/A	N/A
164500	1.879	1.8692e-05	0.5387	N/A	N/A
165000	1.884	1.8596e-05	0.5483	N/A	N/A
165500	1.89	1.8501e-05	0.5461	N/A	N/A
166000	1.896	1.8406e-05	0.5906	N/A	N/A
166500	1.901	1.8311e-05	0.5802	N/A	N/A
167000	1.907	1.8216e-05	0.5522	N/A	N/A
167500	1.913	1.8121e-05	0.5605	N/A	N/A
168000	1.918	1.8025e-05	0.5693	N/A	N/A
168500	1.924	1.7930e-05	0.57	N/A	N/A
169000	1.93	1.7835e-05	0.5473	N/A	N/A
169500	1.936	1.7740e-05	0.5657	N/A	N/A
170000	1.941	1.7645e-05	0.5733	N/A	N/A
170500	1.947	1.7550e-05	0.5817	N/A	N/A
171000	1.953	1.7454e-05	0.5575	N/A	N/A
171500	1.958	1.7359e-05	0.5819	N/A	N/A
172000	1.964	1.7264e-05	0.5663	N/A	N/A
172500	1.97	1.7169e-05	0.5294	N/A	N/A
173000	1.976	1.7074e-05	0.5552	N/A	N/A
173500	1.981	1.6979e-05	0.5467	N/A	N/A
174000	1.987	1.6883e-05	0.5476	N/A	N/A
174500	1.993	1.6788e-05	0.5315	N/A	N/A
175000	1.998	1.6693e-05	0.5378	N/A	N/A
175138	2.0	N/A	N/A	0.6544	0.7881
175500	2.004	1.6598e-05	0.4238	N/A	N/A
176000	2.01	1.6503e-05	0.4607	N/A	N/A
176500	2.016	1.6408e-05	0.4443	N/A	N/A
177000	2.021	1.6312e-05	0.4287	N/A	N/A
177500	2.027	1.6217e-05	0.4477	N/A	N/A
178000	2.033	1.6122e-05	0.4308	N/A	N/A
178500	2.038	1.6027e-05	0.4438	N/A	N/A
179000	2.044	1.5932e-05	0.4576	N/A	N/A
179500	2.05	1.5837e-05	0.4561	N/A	N/A
180000	2.056	1.5741e-05	0.4469	N/A	N/A
180500	2.061	1.5646e-05	0.4444	N/A	N/A
181000	2.067	1.5551e-05	0.4427	N/A	N/A
181500	2.073	1.5456e-05	0.4312	N/A	N/A
182000	2.078	1.5361e-05	0.4677	N/A	N/A
182500	2.084	1.5266e-05	0.4768	N/A	N/A
183000	2.09	1.5171e-05	0.4672	N/A	N/A
183500	2.095	1.5075e-05	0.4518	N/A	N/A
184000	2.101	1.4980e-05	0.4251	N/A	N/A
184500	2.107	1.4885e-05	0.4393	N/A	N/A
185000	2.113	1.4790e-05	0.4283	N/A	N/A
185500	2.118	1.4695e-05	0.4364	N/A	N/A
186000	2.124	1.4600e-05	0.4601	N/A	N/A
186500	2.13	1.4504e-05	0.4343	N/A	N/A
187000	2.135	1.4409e-05	0.463	N/A	N/A
187500	2.141	1.4314e-05	0.4358	N/A	N/A
188000	2.147	1.4219e-05	0.4735	N/A	N/A
188500	2.153	1.4124e-05	0.4427	N/A	N/A
189000	2.158	1.4029e-05	0.4441	N/A	N/A
189500	2.164	1.3933e-05	0.4184	N/A	N/A
190000	2.17	1.3838e-05	0.4768	N/A	N/A
190500	2.175	1.3743e-05	0.4208	N/A	N/A
191000	2.181	1.3648e-05	0.4363	N/A	N/A
191500	2.187	1.3553e-05	0.4382	N/A	N/A
192000	2.193	1.3458e-05	0.4487	N/A	N/A
192500	2.198	1.3362e-05	0.4512	N/A	N/A
193000	2.204	1.3267e-05	0.4401	N/A	N/A
193500	2.21	1.3172e-05	0.4524	N/A	N/A
194000	2.215	1.3077e-05	0.4545	N/A	N/A
194500	2.221	1.2982e-05	0.4623	N/A	N/A
195000	2.227	1.2887e-05	0.4352	N/A	N/A
195500	2.233	1.2791e-05	0.4368	N/A	N/A
196000	2.238	1.2696e-05	0.4481	N/A	N/A
196500	2.244	1.2601e-05	0.4517	N/A	N/A
197000	2.25	1.2506e-05	0.4544	N/A	N/A
197500	2.255	1.2411e-05	0.447	N/A	N/A
198000	2.261	1.2316e-05	0.4746	N/A	N/A
198500	2.267	1.2220e-05	0.4691	N/A	N/A
199000	2.272	1.2125e-05	0.471	N/A	N/A
199500	2.278	1.2030e-05	0.4489	N/A	N/A
200000	2.284	1.1935e-05	0.4414	N/A	N/A
200500	2.29	1.1840e-05	0.4566	N/A	N/A
201000	2.295	1.1745e-05	0.4331	N/A	N/A
201500	2.301	1.1649e-05	0.453	N/A	N/A
202000	2.307	1.1554e-05	0.4626	N/A	N/A
202500	2.312	1.1459e-05	0.4475	N/A	N/A
203000	2.318	1.1364e-05	0.408	N/A	N/A
203500	2.324	1.1269e-05	0.4635	N/A	N/A
204000	2.33	1.1174e-05	0.4075	N/A	N/A
204500	2.335	1.1079e-05	0.4559	N/A	N/A
205000	2.341	1.0983e-05	0.4449	N/A	N/A
205500	2.347	1.0888e-05	0.4021	N/A	N/A
206000	2.352	1.0793e-05	0.4424	N/A	N/A
206500	2.358	1.0698e-05	0.4515	N/A	N/A
207000	2.364	1.0603e-05	0.4545	N/A	N/A
207500	2.37	1.0508e-05	0.4689	N/A	N/A
208000	2.375	1.0412e-05	0.4431	N/A	N/A
208500	2.381	1.0317e-05	0.4212	N/A	N/A
209000	2.387	1.0222e-05	0.4812	N/A	N/A
209500	2.392	1.0127e-05	0.4512	N/A	N/A
210000	2.398	1.0032e-05	0.4328	N/A	N/A
210500	2.404	9.9365e-06	0.4666	N/A	N/A
211000	2.41	9.8414e-06	0.4666	N/A	N/A
211500	2.415	9.7462e-06	0.4782	N/A	N/A
212000	2.421	9.6511e-06	0.4097	N/A	N/A
212500	2.427	9.5559e-06	0.4341	N/A	N/A
213000	2.432	9.4607e-06	0.4557	N/A	N/A
213500	2.438	9.3656e-06	0.428	N/A	N/A
214000	2.444	9.2704e-06	0.4288	N/A	N/A
214500	2.449	9.1752e-06	0.4736	N/A	N/A
215000	2.455	9.0801e-06	0.437	N/A	N/A
215500	2.461	8.9849e-06	0.4292	N/A	N/A
216000	2.467	8.8898e-06	0.4652	N/A	N/A
216500	2.472	8.7946e-06	0.4395	N/A	N/A
217000	2.478	8.6994e-06	0.4123	N/A	N/A
217500	2.484	8.6043e-06	0.4705	N/A	N/A
218000	2.489	8.5091e-06	0.4226	N/A	N/A
218500	2.495	8.4139e-06	0.4387	N/A	N/A
219000	2.501	8.3188e-06	0.4412	N/A	N/A
219500	2.507	8.2236e-06	0.4568	N/A	N/A
220000	2.512	8.1284e-06	0.4458	N/A	N/A
220500	2.518	8.0333e-06	0.4573	N/A	N/A
221000	2.524	7.9381e-06	0.3975	N/A	N/A
221500	2.529	7.8430e-06	0.4081	N/A	N/A
222000	2.535	7.7478e-06	0.4374	N/A	N/A
222500	2.541	7.6526e-06	0.4394	N/A	N/A
223000	2.547	7.5575e-06	0.4502	N/A	N/A
223500	2.552	7.4623e-06	0.4507	N/A	N/A
224000	2.558	7.3671e-06	0.4204	N/A	N/A
224500	2.564	7.2720e-06	0.4132	N/A	N/A
225000	2.569	7.1768e-06	0.4477	N/A	N/A
225500	2.575	7.0817e-06	0.4526	N/A	N/A
226000	2.581	6.9865e-06	0.4567	N/A	N/A
226500	2.587	6.8913e-06	0.4124	N/A	N/A
227000	2.592	6.7962e-06	0.4217	N/A	N/A
227500	2.598	6.7010e-06	0.4348	N/A	N/A
228000	2.604	6.6058e-06	0.4498	N/A	N/A
228500	2.609	6.5107e-06	0.4522	N/A	N/A
229000	2.615	6.4155e-06	0.4081	N/A	N/A
229500	2.621	6.3203e-06	0.4161	N/A	N/A
230000	2.627	6.2252e-06	0.4305	N/A	N/A
230500	2.632	6.1300e-06	0.4613	N/A	N/A
231000	2.638	6.0349e-06	0.405	N/A	N/A
231500	2.644	5.9397e-06	0.434	N/A	N/A
232000	2.649	5.8445e-06	0.4383	N/A	N/A
232500	2.655	5.7494e-06	0.428	N/A	N/A
233000	2.661	5.6542e-06	0.4396	N/A	N/A
233500	2.666	5.5590e-06	0.4558	N/A	N/A
234000	2.672	5.4639e-06	0.4431	N/A	N/A
234500	2.678	5.3687e-06	0.4292	N/A	N/A
235000	2.684	5.2736e-06	0.4461	N/A	N/A
235500	2.689	5.1784e-06	0.4463	N/A	N/A
236000	2.695	5.0832e-06	0.4324	N/A	N/A
236500	2.701	4.9881e-06	0.4099	N/A	N/A
237000	2.706	4.8929e-06	0.4714	N/A	N/A
237500	2.712	4.7977e-06	0.4178	N/A	N/A
238000	2.718	4.7026e-06	0.4549	N/A	N/A
238500	2.724	4.6074e-06	0.4303	N/A	N/A
239000	2.729	4.5123e-06	0.4225	N/A	N/A
239500	2.735	4.4171e-06	0.4464	N/A	N/A
240000	2.741	4.3219e-06	0.4422	N/A	N/A
240500	2.746	4.2268e-06	0.4269	N/A	N/A
241000	2.752	4.1316e-06	0.4159	N/A	N/A
241500	2.758	4.0364e-06	0.4323	N/A	N/A
242000	2.764	3.9413e-06	0.4572	N/A	N/A
242500	2.769	3.8461e-06	0.4391	N/A	N/A
243000	2.775	3.7509e-06	0.4456	N/A	N/A
243500	2.781	3.6558e-06	0.4466	N/A	N/A
244000	2.786	3.5606e-06	0.4325	N/A	N/A
244500	2.792	3.4655e-06	0.414	N/A	N/A
245000	2.798	3.3703e-06	0.4053	N/A	N/A
245500	2.804	3.2751e-06	0.4307	N/A	N/A
246000	2.809	3.1800e-06	0.4457	N/A	N/A
246500	2.815	3.0848e-06	0.4143	N/A	N/A
247000	2.821	2.9896e-06	0.4388	N/A	N/A
247500	2.826	2.8945e-06	0.4312	N/A	N/A
248000	2.832	2.7993e-06	0.4373	N/A	N/A
248500	2.838	2.7042e-06	0.4182	N/A	N/A
249000	2.843	2.6090e-06	0.4387	N/A	N/A
249500	2.849	2.5138e-06	0.4205	N/A	N/A
250000	2.855	2.4187e-06	0.4082	N/A	N/A
250500	2.861	2.3235e-06	0.4333	N/A	N/A
251000	2.866	2.2283e-06	0.426	N/A	N/A
251500	2.872	2.1332e-06	0.4236	N/A	N/A
252000	2.878	2.0380e-06	0.4399	N/A	N/A
252500	2.883	1.9428e-06	0.4648	N/A	N/A
253000	2.889	1.8477e-06	0.4363	N/A	N/A
253500	2.895	1.7525e-06	0.4242	N/A	N/A
254000	2.901	1.6574e-06	0.4168	N/A	N/A
254500	2.906	1.5622e-06	0.4099	N/A	N/A
255000	2.912	1.4670e-06	0.4096	N/A	N/A
255500	2.918	1.3719e-06	0.4225	N/A	N/A
256000	2.923	1.2767e-06	0.4199	N/A	N/A
256500	2.929	1.1815e-06	0.4322	N/A	N/A
257000	2.935	1.0864e-06	0.4143	N/A	N/A
257500	2.941	9.9122e-07	0.4121	N/A	N/A
258000	2.946	8.9606e-07	0.423	N/A	N/A
258500	2.952	8.0089e-07	0.4207	N/A	N/A
259000	2.958	7.0573e-07	0.4333	N/A	N/A
259500	2.963	6.1057e-07	0.4149	N/A	N/A
260000	2.969	5.1540e-07	0.41	N/A	N/A
260500	2.975	4.2024e-07	0.4046	N/A	N/A
261000	2.981	3.2508e-07	0.4421	N/A	N/A
261500	2.986	2.2991e-07	0.4149	N/A	N/A
262000	2.992	1.3475e-07	0.4417	N/A	N/A
262500	2.998	3.9588e-08	0.4166	N/A	N/A
262707	3.0	N/A	N/A	0.7073	0.7949

Framework Versions

• Transformers: 5.0.0.dev0
• PyTorch: 2.6.0+cu124