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agentlans
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bge-small-en-region-classifier

Text Classification
Safetensors
English
bert
sequence-classification
Eval Results (legacy)
Model card Files
xet
 Community

bge-small-en-region-classifier

This model classifies English text into its most likely geographic region based on linguistic nuances, context, and terminology.

Supported Regions

Region Covered Countries / Territories
Africa Nigeria, South Africa
ANZ Australia, New Zealand
North America Canada, United States
South Asia India, Pakistan
Southeast Asia Hong Kong, Malaysia, Philippines, Singapore
UK & Ireland United Kingdom, Ireland
Other International or Global English

Intended Uses & Limitations

Intended Uses

  • Content Localization: Route user feedback, support tickets, or inquiries to the appropriate regional teams automatically.
  • Content Moderation & Compliance: Filter or flag regional text variations for compliance with local digital standards or cultural sensitivities.
  • Market Research & Analytics: Analyze large-scale social media data, product reviews, or forum posts to understand the geographic distribution of your audience.
  • Dataset Auditing: Profile large text datasets to ensure geographic diversity or to detect regional imbalances before training downstream models.

Limitations & Biases

  • Linguistic vs. Topical Clues: The model relies on regional slang, sentence structure, specific spellings (e.g., colour vs. color), and language pulled from localized websites. Text written in highly standardized "Global English" will likely default to Other. Additionally, while named entities were anonymized in the training data, strong topical associations (e.g., discussions about cricket, kangaroos, or Thanksgiving) can still skew predictions toward a specific region.
  • Code-Switching: Performance may be impacted by text that heavily mixes English with local languages (e.g., Hinglish, Singlish). While these mixed languages are strong indicators of a broader geographic area (like South or Southeast Asia), heavy code-switching can lower specific classification accuracy.
  • Short Inputs: Very short texts (e.g., single-word queries or brief phrases) often lack enough linguistic signals for accurate classification, unless they contain a highly specific regional term.
  • Demographic & Dialect Bias: The model predicts based on dominant regional linguistic patterns and may misclassify text written by regional minorities, expatriates, or non-native speakers. Furthermore, several major English variations and dialects—such as Caribbean English, African-American Vernacular English (AAVE), and various English-based pidgins—were excluded from the training data.
  • Not a Geolocation Tool: This model predicts the linguistic style associated with a broad region, not a user's physical GPS location. For example, a user physically located in Canada writing in British English will likely be classified under UK and Ireland.

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/bge-small-en-region-classifier"
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 AFRICA
1 ANZ
2 NORTH_AMERICA
3 OTHER
4 SOUTHEAST_ASIA
5 SOUTH_ASIA
6 UK_IRELAND

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 0.6375
Validation Loss 0.4999
Validation F1 Score 0.8389
Total FLOPs 4.0021e+16

Test Dataset Performance

Classification Metrics

precision recall f1-score support
AFRICA 0.8405 0.6698 0.7455 1172
ANZ 0.8323 0.7787 0.8046 9872
NORTH_AMERICA 0.8013 0.7956 0.7984 6550
OTHER 0.7191 0.5424 0.6184 590
SOUTHEAST_ASIA 0.7398 0.5349 0.6209 1090
SOUTH_ASIA 0.814 0.6519 0.7239 1215
UK_IRELAND 0.8636 0.9203 0.8911 24511
accuracy 0.843 0.843 0.843 0.843
macro avg 0.8015 0.6991 0.7432 45000
weighted avg 0.8408 0.843 0.8402 45000

Confusion Matrix

Pred AFRICA Pred ANZ Pred NORTH_AMERICA Pred OTHER Pred SOUTHEAST_ASIA Pred SOUTH_ASIA Pred UK_IRELAND
Actual AFRICA 785 83 64 4 8 11 217
Actual ANZ 37 7687 381 15 50 18 1684
Actual NORTH_AMERICA 14 350 5211 20 41 44 870
Actual OTHER 4 21 52 320 7 6 180
Actual SOUTHEAST_ASIA 8 53 91 2 583 24 329
Actual SOUTH_ASIA 4 39 63 4 30 792 283
Actual UK_IRELAND 82 1003 641 80 69 78 22558

Sample Predictions

Input Prediction Actual
Animal Species:Southern Ocean Sunfish, Mola ramsayi (Giglioli, 1883) The Southern Ocean Sunfish is a huge round-bodied fish that is sometimes seen 'basking' on the water surface in southern Australian waters. The Southern Ocean Sunfish is a deep bodi... ANZ ANZ
Posted in Dumbarton FC at 7:31 pm on 13 February 2013 Sons first goal on Saturday at Livingston was a belter. Scored by Brian Prunty it probably won’t be bettered by a Sons player this season. (At least not unless in a crucial game we score in a vita... UK_IRELAND UK_IRELAND
[pygtk] Updating scrolled windows reidar.hagen at gmail.com Fri Jun 23 08:35:56 WST 2006 Probably not the most insightfull reply, but using a TreeView and catching the 'row-changed' on the underlying tree-model and subsequently using TreeView.scroll_... ANZ ANZ
Get involved: send your pictures, video, news and views by texting WO to 80360, or email us Watford boss Gianfranco Zola says his players will need to keep their heads in crucial Crystal Palace clash Gianfranco Zola believes his Watford players will... UK_IRELAND UK_IRELAND
Range of Services All IVS services include highly trained staff with access to high quality ultrasound and duplex Doppler imaging instruments. The PCT benefits from our purpose designed database system which allows same day reporting, retrieval of ol... UK_IRELAND UK_IRELAND
Economy: Merkel shepherds us away from the fiscal cliff 3 January 2013 The last minute negotiations in Washington to avoid a budget shortfall show that short-termism is well grounded in US politics. And by contrast, it shows that despite her controve... OTHER OTHER
Israel Islam And Armageddon How Near Is the Final Battle for Jerusalem? by Dave Hunt; Hunt Dave Availability: Stock Available. Why buy from Eden.co.uk? Free UK Delivery on all orders over £5 Churches & Schools Click here to Buy Now and Pay Later Call... UK_IRELAND UK_IRELAND
To save me clogging up this blog by banging on about the lazy 'education is broken' meme used to justify venture capital, I've set up one of those Tumblr blogs that gathers stuff together here: http://brokeneducation.tumblr.com/ I think there's a sli... UK_IRELAND UK_IRELAND
POSB Loan Assist gives you cash in just 5 minutes To qualify for the Cash in 5mins* service, you must be between 21 years and 65 years of age, residing in Singapore and currently in a continuous employment of at least 12 months. Application Requirem... SOUTHEAST_ASIA SOUTHEAST_ASIA
The Historical Jesus An article on the historical reality of Jesus of Nazareth: "The preaching of the early Church always presented Jesus as the Son of God and the only Savior." 4th century representation of Christ. The preaching of the early Church... ANZ SOUTH_ASIA

Speed Performance

  • Training Runtime: 5003.7568 seconds
  • Train Samples per Second: 485.635
  • Evaluation Runtime: 24.8749 seconds
  • Eval Samples per Second: 1809.051
Show Detailed Training Logs

Training Logs History

Step Epoch Learning Rate Training Loss Validation Loss Validation F1
500 0.005 4.9918e-05 1.3063 N/A N/A
1000 0.01 4.9836e-05 1.1521 N/A N/A
1500 0.015 4.9753e-05 1.0742 N/A N/A
2000 0.02 4.9671e-05 1.0137 N/A N/A
2500 0.025 4.9589e-05 1.033 N/A N/A
3000 0.03 4.9506e-05 0.9955 N/A N/A
3500 0.035 4.9424e-05 0.9833 N/A N/A
4000 0.04 4.9342e-05 0.9519 N/A N/A
4500 0.044 4.9259e-05 0.9786 N/A N/A
5000 0.049 4.9177e-05 0.9236 N/A N/A
5500 0.054 4.9095e-05 0.9292 N/A N/A
6000 0.059 4.9013e-05 0.9246 N/A N/A
6500 0.064 4.8930e-05 0.9043 N/A N/A
7000 0.069 4.8848e-05 0.9124 N/A N/A
7500 0.074 4.8766e-05 0.9025 N/A N/A
8000 0.079 4.8683e-05 0.8986 N/A N/A
8500 0.084 4.8601e-05 0.8911 N/A N/A
9000 0.089 4.8519e-05 0.8951 N/A N/A
9500 0.094 4.8436e-05 0.8944 N/A N/A
10000 0.099 4.8354e-05 0.8617 N/A N/A
10500 0.104 4.8272e-05 0.8772 N/A N/A
11000 0.109 4.8189e-05 0.8452 N/A N/A
11500 0.114 4.8107e-05 0.8774 N/A N/A
12000 0.119 4.8025e-05 0.8493 N/A N/A
12500 0.123 4.7943e-05 0.8724 N/A N/A
13000 0.128 4.7860e-05 0.8454 N/A N/A
13500 0.133 4.7778e-05 0.8675 N/A N/A
14000 0.138 4.7696e-05 0.8615 N/A N/A
14500 0.143 4.7613e-05 0.8175 N/A N/A
15000 0.148 4.7531e-05 0.8586 N/A N/A
15500 0.153 4.7449e-05 0.8654 N/A N/A
16000 0.158 4.7366e-05 0.8199 N/A N/A
16500 0.163 4.7284e-05 0.8549 N/A N/A
17000 0.168 4.7202e-05 0.8149 N/A N/A
17500 0.173 4.7120e-05 0.8311 N/A N/A
18000 0.178 4.7037e-05 0.8189 N/A N/A
18500 0.183 4.6955e-05 0.8313 N/A N/A
19000 0.188 4.6873e-05 0.8109 N/A N/A
19500 0.193 4.6790e-05 0.8168 N/A N/A
20000 0.198 4.6708e-05 0.8561 N/A N/A
20500 0.202 4.6626e-05 0.816 N/A N/A
21000 0.207 4.6543e-05 0.8095 N/A N/A
21500 0.212 4.6461e-05 0.811 N/A N/A
22000 0.217 4.6379e-05 0.8245 N/A N/A
22500 0.222 4.6296e-05 0.8291 N/A N/A
23000 0.227 4.6214e-05 0.811 N/A N/A
23500 0.232 4.6132e-05 0.7874 N/A N/A
24000 0.237 4.6050e-05 0.7993 N/A N/A
24500 0.242 4.5967e-05 0.834 N/A N/A
25000 0.247 4.5885e-05 0.8004 N/A N/A
25500 0.252 4.5803e-05 0.84 N/A N/A
26000 0.257 4.5720e-05 0.7941 N/A N/A
26500 0.262 4.5638e-05 0.7812 N/A N/A
27000 0.267 4.5556e-05 0.7956 N/A N/A
27500 0.272 4.5473e-05 0.794 N/A N/A
28000 0.277 4.5391e-05 0.7827 N/A N/A
28500 0.281 4.5309e-05 0.8104 N/A N/A
29000 0.286 4.5227e-05 0.7988 N/A N/A
29500 0.291 4.5144e-05 0.8113 N/A N/A
30000 0.296 4.5062e-05 0.7936 N/A N/A
30500 0.301 4.4980e-05 0.777 N/A N/A
31000 0.306 4.4897e-05 0.7917 N/A N/A
31500 0.311 4.4815e-05 0.7812 N/A N/A
32000 0.316 4.4733e-05 0.7829 N/A N/A
32500 0.321 4.4650e-05 0.7981 N/A N/A
33000 0.326 4.4568e-05 0.7633 N/A N/A
33500 0.331 4.4486e-05 0.7752 N/A N/A
34000 0.336 4.4403e-05 0.794 N/A N/A
34500 0.341 4.4321e-05 0.7771 N/A N/A
35000 0.346 4.4239e-05 0.7875 N/A N/A
35500 0.351 4.4157e-05 0.7738 N/A N/A
36000 0.356 4.4074e-05 0.7842 N/A N/A
36500 0.36 4.3992e-05 0.7476 N/A N/A
37000 0.365 4.3910e-05 0.7745 N/A N/A
37500 0.37 4.3827e-05 0.7452 N/A N/A
38000 0.375 4.3745e-05 0.8083 N/A N/A
38500 0.38 4.3663e-05 0.767 N/A N/A
39000 0.385 4.3580e-05 0.7772 N/A N/A
39500 0.39 4.3498e-05 0.7734 N/A N/A
40000 0.395 4.3416e-05 0.7745 N/A N/A
40500 0.4 4.3333e-05 0.7496 N/A N/A
41000 0.405 4.3251e-05 0.7391 N/A N/A
41500 0.41 4.3169e-05 0.7753 N/A N/A
42000 0.415 4.3087e-05 0.7442 N/A N/A
42500 0.42 4.3004e-05 0.7623 N/A N/A
43000 0.425 4.2922e-05 0.7648 N/A N/A
43500 0.43 4.2840e-05 0.7626 N/A N/A
44000 0.435 4.2757e-05 0.7945 N/A N/A
44500 0.44 4.2675e-05 0.7535 N/A N/A
45000 0.444 4.2593e-05 0.7651 N/A N/A
45500 0.449 4.2510e-05 0.7754 N/A N/A
46000 0.454 4.2428e-05 0.7585 N/A N/A
46500 0.459 4.2346e-05 0.773 N/A N/A
47000 0.464 4.2264e-05 0.762 N/A N/A
47500 0.469 4.2181e-05 0.7636 N/A N/A
48000 0.474 4.2099e-05 0.7612 N/A N/A
48500 0.479 4.2017e-05 0.7559 N/A N/A
49000 0.484 4.1934e-05 0.7421 N/A N/A
49500 0.489 4.1852e-05 0.7379 N/A N/A
50000 0.494 4.1770e-05 0.7837 N/A N/A
50500 0.499 4.1687e-05 0.7652 N/A N/A
51000 0.504 4.1605e-05 0.7449 N/A N/A
51500 0.509 4.1523e-05 0.7526 N/A N/A
52000 0.514 4.1440e-05 0.7672 N/A N/A
52500 0.519 4.1358e-05 0.7553 N/A N/A
53000 0.523 4.1276e-05 0.7443 N/A N/A
53500 0.528 4.1194e-05 0.7619 N/A N/A
54000 0.533 4.1111e-05 0.7879 N/A N/A
54500 0.538 4.1029e-05 0.7456 N/A N/A
55000 0.543 4.0947e-05 0.7451 N/A N/A
55500 0.548 4.0864e-05 0.7191 N/A N/A
56000 0.553 4.0782e-05 0.7398 N/A N/A
56500 0.558 4.0700e-05 0.7551 N/A N/A
57000 0.563 4.0617e-05 0.749 N/A N/A
57500 0.568 4.0535e-05 0.7567 N/A N/A
58000 0.573 4.0453e-05 0.7738 N/A N/A
58500 0.578 4.0371e-05 0.7652 N/A N/A
59000 0.583 4.0288e-05 0.7148 N/A N/A
59500 0.588 4.0206e-05 0.7445 N/A N/A
60000 0.593 4.0124e-05 0.7351 N/A N/A
60500 0.598 4.0041e-05 0.7322 N/A N/A
61000 0.602 3.9959e-05 0.7291 N/A N/A
61500 0.607 3.9877e-05 0.7512 N/A N/A
62000 0.612 3.9794e-05 0.721 N/A N/A
62500 0.617 3.9712e-05 0.7493 N/A N/A
63000 0.622 3.9630e-05 0.7586 N/A N/A
63500 0.627 3.9547e-05 0.7269 N/A N/A
64000 0.632 3.9465e-05 0.7109 N/A N/A
64500 0.637 3.9383e-05 0.7646 N/A N/A
65000 0.642 3.9301e-05 0.736 N/A N/A
65500 0.647 3.9218e-05 0.7287 N/A N/A
66000 0.652 3.9136e-05 0.729 N/A N/A
66500 0.657 3.9054e-05 0.7369 N/A N/A
67000 0.662 3.8971e-05 0.7021 N/A N/A
67500 0.667 3.8889e-05 0.7342 N/A N/A
68000 0.672 3.8807e-05 0.7379 N/A N/A
68500 0.677 3.8724e-05 0.732 N/A N/A
69000 0.681 3.8642e-05 0.7316 N/A N/A
69500 0.686 3.8560e-05 0.7326 N/A N/A
70000 0.691 3.8478e-05 0.7443 N/A N/A
70500 0.696 3.8395e-05 0.7402 N/A N/A
71000 0.701 3.8313e-05 0.7519 N/A N/A
71500 0.706 3.8231e-05 0.7421 N/A N/A
72000 0.711 3.8148e-05 0.7217 N/A N/A
72500 0.716 3.8066e-05 0.7077 N/A N/A
73000 0.721 3.7984e-05 0.7074 N/A N/A
73500 0.726 3.7901e-05 0.7332 N/A N/A
74000 0.731 3.7819e-05 0.7385 N/A N/A
74500 0.736 3.7737e-05 0.7339 N/A N/A
75000 0.741 3.7654e-05 0.7171 N/A N/A
75500 0.746 3.7572e-05 0.7032 N/A N/A
76000 0.751 3.7490e-05 0.7353 N/A N/A
76500 0.756 3.7408e-05 0.7232 N/A N/A
77000 0.76 3.7325e-05 0.6953 N/A N/A
77500 0.765 3.7243e-05 0.6858 N/A N/A
78000 0.77 3.7161e-05 0.7233 N/A N/A
78500 0.775 3.7078e-05 0.7129 N/A N/A
79000 0.78 3.6996e-05 0.6959 N/A N/A
79500 0.785 3.6914e-05 0.7329 N/A N/A
80000 0.79 3.6831e-05 0.736 N/A N/A
80500 0.795 3.6749e-05 0.701 N/A N/A
81000 0.8 3.6667e-05 0.7157 N/A N/A
81500 0.805 3.6585e-05 0.7227 N/A N/A
82000 0.81 3.6502e-05 0.7073 N/A N/A
82500 0.815 3.6420e-05 0.7141 N/A N/A
83000 0.82 3.6338e-05 0.7523 N/A N/A
83500 0.825 3.6255e-05 0.6861 N/A N/A
84000 0.83 3.6173e-05 0.7205 N/A N/A
84500 0.835 3.6091e-05 0.6735 N/A N/A
85000 0.84 3.6008e-05 0.7051 N/A N/A
85500 0.844 3.5926e-05 0.6597 N/A N/A
86000 0.849 3.5844e-05 0.7066 N/A N/A
86500 0.854 3.5761e-05 0.7128 N/A N/A
87000 0.859 3.5679e-05 0.7125 N/A N/A
87500 0.864 3.5597e-05 0.7463 N/A N/A
88000 0.869 3.5515e-05 0.7212 N/A N/A
88500 0.874 3.5432e-05 0.6792 N/A N/A
89000 0.879 3.5350e-05 0.6758 N/A N/A
89500 0.884 3.5268e-05 0.7242 N/A N/A
90000 0.889 3.5185e-05 0.7335 N/A N/A
90500 0.894 3.5103e-05 0.7281 N/A N/A
91000 0.899 3.5021e-05 0.68 N/A N/A
91500 0.904 3.4938e-05 0.6776 N/A N/A
92000 0.909 3.4856e-05 0.686 N/A N/A
92500 0.914 3.4774e-05 0.7117 N/A N/A
93000 0.919 3.4692e-05 0.7019 N/A N/A
93500 0.923 3.4609e-05 0.7063 N/A N/A
94000 0.928 3.4527e-05 0.7078 N/A N/A
94500 0.933 3.4445e-05 0.7213 N/A N/A
95000 0.938 3.4362e-05 0.7148 N/A N/A
95500 0.943 3.4280e-05 0.6901 N/A N/A
96000 0.948 3.4198e-05 0.6892 N/A N/A
96500 0.953 3.4115e-05 0.6926 N/A N/A
97000 0.958 3.4033e-05 0.6991 N/A N/A
97500 0.963 3.3951e-05 0.7145 N/A N/A
98000 0.968 3.3868e-05 0.7013 N/A N/A
98500 0.973 3.3786e-05 0.6986 N/A N/A
99000 0.978 3.3704e-05 0.7371 N/A N/A
99500 0.983 3.3622e-05 0.7127 N/A N/A
100000 0.988 3.3539e-05 0.6942 N/A N/A
100500 0.993 3.3457e-05 0.726 N/A N/A
101000 0.998 3.3375e-05 0.683 N/A N/A
101250 1.0 N/A N/A 0.5154 0.8193
101500 1.002 3.3292e-05 0.6359 N/A N/A
102000 1.007 3.3210e-05 0.6171 N/A N/A
102500 1.012 3.3128e-05 0.6353 N/A N/A
103000 1.017 3.3045e-05 0.6488 N/A N/A
103500 1.022 3.2963e-05 0.6386 N/A N/A
104000 1.027 3.2881e-05 0.6482 N/A N/A
104500 1.032 3.2799e-05 0.6402 N/A N/A
105000 1.037 3.2716e-05 0.637 N/A N/A
105500 1.042 3.2634e-05 0.6291 N/A N/A
106000 1.047 3.2552e-05 0.6607 N/A N/A
106500 1.052 3.2469e-05 0.6427 N/A N/A
107000 1.057 3.2387e-05 0.6313 N/A N/A
107500 1.062 3.2305e-05 0.6427 N/A N/A
108000 1.067 3.2222e-05 0.6301 N/A N/A
108500 1.072 3.2140e-05 0.6567 N/A N/A
109000 1.077 3.2058e-05 0.6391 N/A N/A
109500 1.081 3.1975e-05 0.648 N/A N/A
110000 1.086 3.1893e-05 0.6612 N/A N/A
110500 1.091 3.1811e-05 0.6369 N/A N/A
111000 1.096 3.1729e-05 0.6479 N/A N/A
111500 1.101 3.1646e-05 0.6363 N/A N/A
112000 1.106 3.1564e-05 0.6183 N/A N/A
112500 1.111 3.1482e-05 0.6116 N/A N/A
113000 1.116 3.1399e-05 0.6279 N/A N/A
113500 1.121 3.1317e-05 0.6184 N/A N/A
114000 1.126 3.1235e-05 0.6564 N/A N/A
114500 1.131 3.1152e-05 0.5961 N/A N/A
115000 1.136 3.1070e-05 0.6488 N/A N/A
115500 1.141 3.0988e-05 0.6416 N/A N/A
116000 1.146 3.0906e-05 0.665 N/A N/A
116500 1.151 3.0823e-05 0.6394 N/A N/A
117000 1.156 3.0741e-05 0.6361 N/A N/A
117500 1.16 3.0659e-05 0.6522 N/A N/A
118000 1.165 3.0576e-05 0.6243 N/A N/A
118500 1.17 3.0494e-05 0.6522 N/A N/A
119000 1.175 3.0412e-05 0.5939 N/A N/A
119500 1.18 3.0329e-05 0.6188 N/A N/A
120000 1.185 3.0247e-05 0.6243 N/A N/A
120500 1.19 3.0165e-05 0.6452 N/A N/A
121000 1.195 3.0082e-05 0.6454 N/A N/A
121500 1.2 3.0000e-05 0.635 N/A N/A
122000 1.205 2.9918e-05 0.6088 N/A N/A
122500 1.21 2.9836e-05 0.6488 N/A N/A
123000 1.215 2.9753e-05 0.6396 N/A N/A
123500 1.22 2.9671e-05 0.6498 N/A N/A
124000 1.225 2.9589e-05 0.6023 N/A N/A
124500 1.23 2.9506e-05 0.6333 N/A N/A
125000 1.235 2.9424e-05 0.6269 N/A N/A
125500 1.24 2.9342e-05 0.6454 N/A N/A
126000 1.244 2.9259e-05 0.62 N/A N/A
126500 1.249 2.9177e-05 0.6165 N/A N/A
127000 1.254 2.9095e-05 0.609 N/A N/A
127500 1.259 2.9013e-05 0.6246 N/A N/A
128000 1.264 2.8930e-05 0.6351 N/A N/A
128500 1.269 2.8848e-05 0.6319 N/A N/A
129000 1.274 2.8766e-05 0.6185 N/A N/A
129500 1.279 2.8683e-05 0.6265 N/A N/A
130000 1.284 2.8601e-05 0.6275 N/A N/A
130500 1.289 2.8519e-05 0.6127 N/A N/A
131000 1.294 2.8436e-05 0.6048 N/A N/A
131500 1.299 2.8354e-05 0.6202 N/A N/A
132000 1.304 2.8272e-05 0.6187 N/A N/A
132500 1.309 2.8189e-05 0.6283 N/A N/A
133000 1.314 2.8107e-05 0.6224 N/A N/A
133500 1.319 2.8025e-05 0.6041 N/A N/A
134000 1.323 2.7943e-05 0.6459 N/A N/A
134500 1.328 2.7860e-05 0.6187 N/A N/A
135000 1.333 2.7778e-05 0.6102 N/A N/A
135500 1.338 2.7696e-05 0.6065 N/A N/A
136000 1.343 2.7613e-05 0.6334 N/A N/A
136500 1.348 2.7531e-05 0.6182 N/A N/A
137000 1.353 2.7449e-05 0.6139 N/A N/A
137500 1.358 2.7366e-05 0.6483 N/A N/A
138000 1.363 2.7284e-05 0.6257 N/A N/A
138500 1.368 2.7202e-05 0.6091 N/A N/A
139000 1.373 2.7120e-05 0.6263 N/A N/A
139500 1.378 2.7037e-05 0.6476 N/A N/A
140000 1.383 2.6955e-05 0.6191 N/A N/A
140500 1.388 2.6873e-05 0.63 N/A N/A
141000 1.393 2.6790e-05 0.6356 N/A N/A
141500 1.398 2.6708e-05 0.6359 N/A N/A
142000 1.402 2.6626e-05 0.6283 N/A N/A
142500 1.407 2.6543e-05 0.6303 N/A N/A
143000 1.412 2.6461e-05 0.6045 N/A N/A
143500 1.417 2.6379e-05 0.635 N/A N/A
144000 1.422 2.6296e-05 0.6428 N/A N/A
144500 1.427 2.6214e-05 0.6425 N/A N/A
145000 1.432 2.6132e-05 0.637 N/A N/A
145500 1.437 2.6050e-05 0.6196 N/A N/A
146000 1.442 2.5967e-05 0.6123 N/A N/A
146500 1.447 2.5885e-05 0.6231 N/A N/A
147000 1.452 2.5803e-05 0.6309 N/A N/A
147500 1.457 2.5720e-05 0.632 N/A N/A
148000 1.462 2.5638e-05 0.6344 N/A N/A
148500 1.467 2.5556e-05 0.6167 N/A N/A
149000 1.472 2.5473e-05 0.6424 N/A N/A
149500 1.477 2.5391e-05 0.6094 N/A N/A
150000 1.481 2.5309e-05 0.6154 N/A N/A
150500 1.486 2.5227e-05 0.6155 N/A N/A
151000 1.491 2.5144e-05 0.6257 N/A N/A
151500 1.496 2.5062e-05 0.6128 N/A N/A
152000 1.501 2.4980e-05 0.6172 N/A N/A
152500 1.506 2.4897e-05 0.6139 N/A N/A
153000 1.511 2.4815e-05 0.6299 N/A N/A
153500 1.516 2.4733e-05 0.608 N/A N/A
154000 1.521 2.4650e-05 0.6428 N/A N/A
154500 1.526 2.4568e-05 0.6119 N/A N/A
155000 1.531 2.4486e-05 0.6223 N/A N/A
155500 1.536 2.4403e-05 0.6186 N/A N/A
156000 1.541 2.4321e-05 0.6302 N/A N/A
156500 1.546 2.4239e-05 0.5809 N/A N/A
157000 1.551 2.4157e-05 0.6149 N/A N/A
157500 1.556 2.4074e-05 0.6206 N/A N/A
158000 1.56 2.3992e-05 0.6176 N/A N/A
158500 1.565 2.3910e-05 0.6003 N/A N/A
159000 1.57 2.3827e-05 0.6201 N/A N/A
159500 1.575 2.3745e-05 0.6092 N/A N/A
160000 1.58 2.3663e-05 0.5997 N/A N/A
160500 1.585 2.3580e-05 0.6136 N/A N/A
161000 1.59 2.3498e-05 0.6107 N/A N/A
161500 1.595 2.3416e-05 0.619 N/A N/A
162000 1.6 2.3333e-05 0.6205 N/A N/A
162500 1.605 2.3251e-05 0.6184 N/A N/A
163000 1.61 2.3169e-05 0.6071 N/A N/A
163500 1.615 2.3087e-05 0.6208 N/A N/A
164000 1.62 2.3004e-05 0.6089 N/A N/A
164500 1.625 2.2922e-05 0.6379 N/A N/A
165000 1.63 2.2840e-05 0.6227 N/A N/A
165500 1.635 2.2757e-05 0.6236 N/A N/A
166000 1.64 2.2675e-05 0.6055 N/A N/A
166500 1.644 2.2593e-05 0.6025 N/A N/A
167000 1.649 2.2510e-05 0.6104 N/A N/A
167500 1.654 2.2428e-05 0.5978 N/A N/A
168000 1.659 2.2346e-05 0.6073 N/A N/A
168500 1.664 2.2264e-05 0.6345 N/A N/A
169000 1.669 2.2181e-05 0.6174 N/A N/A
169500 1.674 2.2099e-05 0.5993 N/A N/A
170000 1.679 2.2017e-05 0.5972 N/A N/A
170500 1.684 2.1934e-05 0.5975 N/A N/A
171000 1.689 2.1852e-05 0.6077 N/A N/A
171500 1.694 2.1770e-05 0.6212 N/A N/A
172000 1.699 2.1687e-05 0.6152 N/A N/A
172500 1.704 2.1605e-05 0.6107 N/A N/A
173000 1.709 2.1523e-05 0.6288 N/A N/A
173500 1.714 2.1440e-05 0.617 N/A N/A
174000 1.719 2.1358e-05 0.6005 N/A N/A
174500 1.723 2.1276e-05 0.6112 N/A N/A
175000 1.728 2.1194e-05 0.6059 N/A N/A
175500 1.733 2.1111e-05 0.6136 N/A N/A
176000 1.738 2.1029e-05 0.6132 N/A N/A
176500 1.743 2.0947e-05 0.5937 N/A N/A
177000 1.748 2.0864e-05 0.6085 N/A N/A
177500 1.753 2.0782e-05 0.5782 N/A N/A
178000 1.758 2.0700e-05 0.5918 N/A N/A
178500 1.763 2.0617e-05 0.5937 N/A N/A
179000 1.768 2.0535e-05 0.6077 N/A N/A
179500 1.773 2.0453e-05 0.5834 N/A N/A
180000 1.778 2.0371e-05 0.5973 N/A N/A
180500 1.783 2.0288e-05 0.5952 N/A N/A
181000 1.788 2.0206e-05 0.6041 N/A N/A
181500 1.793 2.0124e-05 0.607 N/A N/A
182000 1.798 2.0041e-05 0.5943 N/A N/A
182500 1.802 1.9959e-05 0.582 N/A N/A
183000 1.807 1.9877e-05 0.5937 N/A N/A
183500 1.812 1.9794e-05 0.6018 N/A N/A
184000 1.817 1.9712e-05 0.5587 N/A N/A
184500 1.822 1.9630e-05 0.6143 N/A N/A
185000 1.827 1.9547e-05 0.6088 N/A N/A
185500 1.832 1.9465e-05 0.5868 N/A N/A
186000 1.837 1.9383e-05 0.6133 N/A N/A
186500 1.842 1.9301e-05 0.6157 N/A N/A
187000 1.847 1.9218e-05 0.6134 N/A N/A
187500 1.852 1.9136e-05 0.596 N/A N/A
188000 1.857 1.9054e-05 0.5784 N/A N/A
188500 1.862 1.8971e-05 0.6023 N/A N/A
189000 1.867 1.8889e-05 0.6115 N/A N/A
189500 1.872 1.8807e-05 0.5868 N/A N/A
190000 1.877 1.8724e-05 0.5998 N/A N/A
190500 1.881 1.8642e-05 0.6127 N/A N/A
191000 1.886 1.8560e-05 0.5796 N/A N/A
191500 1.891 1.8478e-05 0.6135 N/A N/A
192000 1.896 1.8395e-05 0.5919 N/A N/A
192500 1.901 1.8313e-05 0.6007 N/A N/A
193000 1.906 1.8231e-05 0.5699 N/A N/A
193500 1.911 1.8148e-05 0.611 N/A N/A
194000 1.916 1.8066e-05 0.6003 N/A N/A
194500 1.921 1.7984e-05 0.5966 N/A N/A
195000 1.926 1.7901e-05 0.5838 N/A N/A
195500 1.931 1.7819e-05 0.5977 N/A N/A
196000 1.936 1.7737e-05 0.5904 N/A N/A
196500 1.941 1.7654e-05 0.5955 N/A N/A
197000 1.946 1.7572e-05 0.5644 N/A N/A
197500 1.951 1.7490e-05 0.5775 N/A N/A
198000 1.956 1.7408e-05 0.6117 N/A N/A
198500 1.96 1.7325e-05 0.6243 N/A N/A
199000 1.965 1.7243e-05 0.5728 N/A N/A
199500 1.97 1.7161e-05 0.5945 N/A N/A
200000 1.975 1.7078e-05 0.5859 N/A N/A
200500 1.98 1.6996e-05 0.5946 N/A N/A
201000 1.985 1.6914e-05 0.5953 N/A N/A
201500 1.99 1.6831e-05 0.6115 N/A N/A
202000 1.995 1.6749e-05 0.585 N/A N/A
202500 2.0 1.6667e-05 0.6058 0.4807 0.8362
203000 2.005 1.6585e-05 0.5321 N/A N/A
203500 2.01 1.6502e-05 0.5359 N/A N/A
204000 2.015 1.6420e-05 0.5256 N/A N/A
204500 2.02 1.6338e-05 0.5373 N/A N/A
205000 2.025 1.6255e-05 0.5254 N/A N/A
205500 2.03 1.6173e-05 0.5367 N/A N/A
206000 2.035 1.6091e-05 0.5362 N/A N/A
206500 2.04 1.6008e-05 0.5338 N/A N/A
207000 2.044 1.5926e-05 0.5627 N/A N/A
207500 2.049 1.5844e-05 0.5044 N/A N/A
208000 2.054 1.5761e-05 0.5361 N/A N/A
208500 2.059 1.5679e-05 0.5272 N/A N/A
209000 2.064 1.5597e-05 0.556 N/A N/A
209500 2.069 1.5515e-05 0.5436 N/A N/A
210000 2.074 1.5432e-05 0.5048 N/A N/A
210500 2.079 1.5350e-05 0.5237 N/A N/A
211000 2.084 1.5268e-05 0.5304 N/A N/A
211500 2.089 1.5185e-05 0.5046 N/A N/A
212000 2.094 1.5103e-05 0.5192 N/A N/A
212500 2.099 1.5021e-05 0.521 N/A N/A
213000 2.104 1.4938e-05 0.5248 N/A N/A
213500 2.109 1.4856e-05 0.5204 N/A N/A
214000 2.114 1.4774e-05 0.5423 N/A N/A
214500 2.119 1.4692e-05 0.5184 N/A N/A
215000 2.123 1.4609e-05 0.5305 N/A N/A
215500 2.128 1.4527e-05 0.5223 N/A N/A
216000 2.133 1.4445e-05 0.5413 N/A N/A
216500 2.138 1.4362e-05 0.5197 N/A N/A
217000 2.143 1.4280e-05 0.5243 N/A N/A
217500 2.148 1.4198e-05 0.537 N/A N/A
218000 2.153 1.4115e-05 0.5141 N/A N/A
218500 2.158 1.4033e-05 0.524 N/A N/A
219000 2.163 1.3951e-05 0.5288 N/A N/A
219500 2.168 1.3868e-05 0.527 N/A N/A
220000 2.173 1.3786e-05 0.5218 N/A N/A
220500 2.178 1.3704e-05 0.5165 N/A N/A
221000 2.183 1.3622e-05 0.5334 N/A N/A
221500 2.188 1.3539e-05 0.5333 N/A N/A
222000 2.193 1.3457e-05 0.531 N/A N/A
222500 2.198 1.3375e-05 0.5255 N/A N/A
223000 2.202 1.3292e-05 0.5187 N/A N/A
223500 2.207 1.3210e-05 0.5429 N/A N/A
224000 2.212 1.3128e-05 0.5203 N/A N/A
224500 2.217 1.3045e-05 0.5193 N/A N/A
225000 2.222 1.2963e-05 0.5058 N/A N/A
225500 2.227 1.2881e-05 0.521 N/A N/A
226000 2.232 1.2799e-05 0.5398 N/A N/A
226500 2.237 1.2716e-05 0.5431 N/A N/A
227000 2.242 1.2634e-05 0.5343 N/A N/A
227500 2.247 1.2552e-05 0.5372 N/A N/A
228000 2.252 1.2469e-05 0.5293 N/A N/A
228500 2.257 1.2387e-05 0.5211 N/A N/A
229000 2.262 1.2305e-05 0.5361 N/A N/A
229500 2.267 1.2222e-05 0.5192 N/A N/A
230000 2.272 1.2140e-05 0.5351 N/A N/A
230500 2.277 1.2058e-05 0.5272 N/A N/A
231000 2.281 1.1975e-05 0.5323 N/A N/A
231500 2.286 1.1893e-05 0.5284 N/A N/A
232000 2.291 1.1811e-05 0.5257 N/A N/A
232500 2.296 1.1729e-05 0.5068 N/A N/A
233000 2.301 1.1646e-05 0.5319 N/A N/A
233500 2.306 1.1564e-05 0.5472 N/A N/A
234000 2.311 1.1482e-05 0.5141 N/A N/A
234500 2.316 1.1399e-05 0.5285 N/A N/A
235000 2.321 1.1317e-05 0.5432 N/A N/A
235500 2.326 1.1235e-05 0.5183 N/A N/A
236000 2.331 1.1152e-05 0.4986 N/A N/A
236500 2.336 1.1070e-05 0.5235 N/A N/A
237000 2.341 1.0988e-05 0.524 N/A N/A
237500 2.346 1.0906e-05 0.5117 N/A N/A
238000 2.351 1.0823e-05 0.5453 N/A N/A
238500 2.356 1.0741e-05 0.5379 N/A N/A
239000 2.36 1.0659e-05 0.5251 N/A N/A
239500 2.365 1.0576e-05 0.5263 N/A N/A
240000 2.37 1.0494e-05 0.5053 N/A N/A
240500 2.375 1.0412e-05 0.518 N/A N/A
241000 2.38 1.0329e-05 0.513 N/A N/A
241500 2.385 1.0247e-05 0.5151 N/A N/A
242000 2.39 1.0165e-05 0.5202 N/A N/A
242500 2.395 1.0082e-05 0.5098 N/A N/A
243000 2.4 1.0000e-05 0.5087 N/A N/A
243500 2.405 9.9179e-06 0.5361 N/A N/A
244000 2.41 9.8356e-06 0.5318 N/A N/A
244500 2.415 9.7533e-06 0.5258 N/A N/A
245000 2.42 9.6709e-06 0.5463 N/A N/A
245500 2.425 9.5886e-06 0.5232 N/A N/A
246000 2.43 9.5063e-06 0.5441 N/A N/A
246500 2.435 9.4240e-06 0.5072 N/A N/A
247000 2.44 9.3417e-06 0.5286 N/A N/A
247500 2.444 9.2594e-06 0.5294 N/A N/A
248000 2.449 9.1771e-06 0.545 N/A N/A
248500 2.454 9.0948e-06 0.5209 N/A N/A
249000 2.459 9.0125e-06 0.5279 N/A N/A
249500 2.464 8.9302e-06 0.5503 N/A N/A
250000 2.469 8.8479e-06 0.5199 N/A N/A
250500 2.474 8.7656e-06 0.514 N/A N/A
251000 2.479 8.6833e-06 0.5308 N/A N/A
251500 2.484 8.6010e-06 0.5312 N/A N/A
252000 2.489 8.5187e-06 0.5063 N/A N/A
252500 2.494 8.4364e-06 0.543 N/A N/A
253000 2.499 8.3541e-06 0.5307 N/A N/A
253500 2.504 8.2718e-06 0.5125 N/A N/A
254000 2.509 8.1895e-06 0.5276 N/A N/A
254500 2.514 8.1072e-06 0.5252 N/A N/A
255000 2.519 8.0249e-06 0.5282 N/A N/A
255500 2.523 7.9426e-06 0.5138 N/A N/A
256000 2.528 7.8602e-06 0.5273 N/A N/A
256500 2.533 7.7779e-06 0.499 N/A N/A
257000 2.538 7.6956e-06 0.5294 N/A N/A
257500 2.543 7.6133e-06 0.5271 N/A N/A
258000 2.548 7.5310e-06 0.5221 N/A N/A
258500 2.553 7.4487e-06 0.5193 N/A N/A
259000 2.558 7.3664e-06 0.5123 N/A N/A
259500 2.563 7.2841e-06 0.5095 N/A N/A
260000 2.568 7.2018e-06 0.5194 N/A N/A
260500 2.573 7.1195e-06 0.5337 N/A N/A
261000 2.578 7.0372e-06 0.5056 N/A N/A
261500 2.583 6.9549e-06 0.534 N/A N/A
262000 2.588 6.8726e-06 0.4919 N/A N/A
262500 2.593 6.7903e-06 0.5115 N/A N/A
263000 2.598 6.7080e-06 0.531 N/A N/A
263500 2.602 6.6257e-06 0.4953 N/A N/A
264000 2.607 6.5434e-06 0.4827 N/A N/A
264500 2.612 6.4611e-06 0.5211 N/A N/A
265000 2.617 6.3788e-06 0.5287 N/A N/A
265500 2.622 6.2965e-06 0.4973 N/A N/A
266000 2.627 6.2142e-06 0.5031 N/A N/A
266500 2.632 6.1319e-06 0.5116 N/A N/A
267000 2.637 6.0495e-06 0.5183 N/A N/A
267500 2.642 5.9672e-06 0.5173 N/A N/A
268000 2.647 5.8849e-06 0.5416 N/A N/A
268500 2.652 5.8026e-06 0.5282 N/A N/A
269000 2.657 5.7203e-06 0.5055 N/A N/A
269500 2.662 5.6380e-06 0.5206 N/A N/A
270000 2.667 5.5557e-06 0.5033 N/A N/A
270500 2.672 5.4734e-06 0.504 N/A N/A
271000 2.677 5.3911e-06 0.5103 N/A N/A
271500 2.681 5.3088e-06 0.5102 N/A N/A
272000 2.686 5.2265e-06 0.524 N/A N/A
272500 2.691 5.1442e-06 0.4931 N/A N/A
273000 2.696 5.0619e-06 0.5137 N/A N/A
273500 2.701 4.9796e-06 0.533 N/A N/A
274000 2.706 4.8973e-06 0.5104 N/A N/A
274500 2.711 4.8150e-06 0.5243 N/A N/A
275000 2.716 4.7327e-06 0.5037 N/A N/A
275500 2.721 4.6504e-06 0.5316 N/A N/A
276000 2.726 4.5681e-06 0.5052 N/A N/A
276500 2.731 4.4858e-06 0.486 N/A N/A
277000 2.736 4.4035e-06 0.4952 N/A N/A
277500 2.741 4.3212e-06 0.5084 N/A N/A
278000 2.746 4.2388e-06 0.5231 N/A N/A
278500 2.751 4.1565e-06 0.5152 N/A N/A
279000 2.756 4.0742e-06 0.4985 N/A N/A
279500 2.76 3.9919e-06 0.4874 N/A N/A
280000 2.765 3.9096e-06 0.4997 N/A N/A
280500 2.77 3.8273e-06 0.5011 N/A N/A
281000 2.775 3.7450e-06 0.5134 N/A N/A
281500 2.78 3.6627e-06 0.5253 N/A N/A
282000 2.785 3.5804e-06 0.5013 N/A N/A
282500 2.79 3.4981e-06 0.511 N/A N/A
283000 2.795 3.4158e-06 0.4978 N/A N/A
283500 2.8 3.3335e-06 0.4852 N/A N/A
284000 2.805 3.2512e-06 0.5095 N/A N/A
284500 2.81 3.1689e-06 0.5117 N/A N/A
285000 2.815 3.0866e-06 0.5053 N/A N/A
285500 2.82 3.0043e-06 0.5065 N/A N/A
286000 2.825 2.9220e-06 0.518 N/A N/A
286500 2.83 2.8397e-06 0.4985 N/A N/A
287000 2.835 2.7574e-06 0.5116 N/A N/A
287500 2.84 2.6751e-06 0.5212 N/A N/A
288000 2.844 2.5928e-06 0.5157 N/A N/A
288500 2.849 2.5105e-06 0.5193 N/A N/A
289000 2.854 2.4281e-06 0.5089 N/A N/A
289500 2.859 2.3458e-06 0.5202 N/A N/A
290000 2.864 2.2635e-06 0.4857 N/A N/A
290500 2.869 2.1812e-06 0.505 N/A N/A
291000 2.874 2.0989e-06 0.5186 N/A N/A
291500 2.879 2.0166e-06 0.4877 N/A N/A
292000 2.884 1.9343e-06 0.5123 N/A N/A
292500 2.889 1.8520e-06 0.5131 N/A N/A
293000 2.894 1.7697e-06 0.4666 N/A N/A
293500 2.899 1.6874e-06 0.5215 N/A N/A
294000 2.904 1.6051e-06 0.4851 N/A N/A
294500 2.909 1.5228e-06 0.5013 N/A N/A
295000 2.914 1.4405e-06 0.5126 N/A N/A
295500 2.919 1.3582e-06 0.4535 N/A N/A
296000 2.923 1.2759e-06 0.5224 N/A N/A
296500 2.928 1.1936e-06 0.5007 N/A N/A
297000 2.933 1.1113e-06 0.5138 N/A N/A
297500 2.938 1.0290e-06 0.495 N/A N/A
298000 2.943 9.4667e-07 0.5123 N/A N/A
298500 2.948 8.6436e-07 0.4951 N/A N/A
299000 2.953 7.8206e-07 0.5181 N/A N/A
299500 2.958 6.9975e-07 0.4822 N/A N/A
300000 2.963 6.1745e-07 0.512 N/A N/A
300500 2.968 5.3514e-07 0.5178 N/A N/A
301000 2.973 4.5284e-07 0.4748 N/A N/A
301500 2.978 3.7053e-07 0.5292 N/A N/A
302000 2.983 2.8823e-07 0.5186 N/A N/A
302500 2.988 2.0593e-07 0.5017 N/A N/A
303000 2.993 1.2362e-07 0.4988 N/A N/A
303500 2.998 4.1317e-08 0.5107 N/A N/A
303750 3.0 N/A N/A 0.4999 0.8389

Framework Versions

  • Transformers: 5.0.0.dev0
  • PyTorch: 2.9.1+cu128
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