End of training
Browse files- README.md +458 -0
- best_model/config.json +47 -0
- best_model/model.safetensors +3 -0
- best_model/special_tokens_map.json +37 -0
- best_model/tokenizer.json +0 -0
- best_model/tokenizer_config.json +945 -0
- best_model/training_args.bin +3 -0
- config.json +47 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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+
library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-large
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tags:
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- generated_from_trainer
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model-index:
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- name: answerdotai-ModernBERT-large_20250111-224237
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# answerdotai-ModernBERT-large_20250111-224237
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3203
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- [email protected]: 0.9384
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- [email protected]: 0.9372
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- [email protected]: 0.9378
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|
| 417 |
+
## Model description
|
| 418 |
+
|
| 419 |
+
More information needed
|
| 420 |
+
|
| 421 |
+
## Intended uses & limitations
|
| 422 |
+
|
| 423 |
+
More information needed
|
| 424 |
+
|
| 425 |
+
## Training and evaluation data
|
| 426 |
+
|
| 427 |
+
More information needed
|
| 428 |
+
|
| 429 |
+
## Training procedure
|
| 430 |
+
|
| 431 |
+
### Training hyperparameters
|
| 432 |
+
|
| 433 |
+
The following hyperparameters were used during training:
|
| 434 |
+
- learning_rate: 0.0001
|
| 435 |
+
- train_batch_size: 1
|
| 436 |
+
- eval_batch_size: 1
|
| 437 |
+
- seed: 42
|
| 438 |
+
- gradient_accumulation_steps: 64
|
| 439 |
+
- total_train_batch_size: 64
|
| 440 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 441 |
+
- lr_scheduler_type: linear
|
| 442 |
+
- num_epochs: 3
|
| 443 |
+
|
| 444 |
+
### Training results
|
| 445 |
+
|
| 446 |
+
| Training Loss | Epoch | Step | Validation Loss | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] |
|
| 447 |
+
|:-------------:|:------:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:-------------:|:----------:|:------:|:------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|:--------------:|:-----------:|:-------:|:-------------:|
|
| 448 |
+
| 5.8618 | 1.0 | 4160 | 0.1579 | 0.6785 | 0.9929 | 0.8061 | 0.8303 | 0.7597 | 0.9835 | 0.8573 | 0.8836 | 0.7958 | 0.9772 | 0.8772 | 0.9028 | 0.8144 | 0.9734 | 0.8868 | 0.9117 | 0.8279 | 0.9710 | 0.8938 | 0.9180 | 0.8403 | 0.9684 | 0.8998 | 0.9234 | 0.8481 | 0.9660 | 0.9032 | 0.9264 | 0.8546 | 0.9641 | 0.9061 | 0.9290 | 0.8602 | 0.9631 | 0.9088 | 0.9313 | 0.8649 | 0.9617 | 0.9107 | 0.9330 | 0.8691 | 0.9604 | 0.9125 | 0.9345 | 0.8721 | 0.9593 | 0.9136 | 0.9355 | 0.8747 | 0.9579 | 0.9144 | 0.9363 | 0.8774 | 0.9571 | 0.9155 | 0.9372 | 0.8802 | 0.9561 | 0.9166 | 0.9382 | 0.8830 | 0.9556 | 0.9179 | 0.9392 | 0.8854 | 0.9552 | 0.9190 | 0.9402 | 0.8873 | 0.9543 | 0.9196 | 0.9407 | 0.8891 | 0.9537 | 0.9202 | 0.9412 | 0.8909 | 0.9534 | 0.9211 | 0.9419 | 0.8926 | 0.9525 | 0.9216 | 0.9424 | 0.8944 | 0.9521 | 0.9224 | 0.9430 | 0.8955 | 0.9513 | 0.9225 | 0.9432 | 0.8965 | 0.9502 | 0.9225 | 0.9433 | 0.8969 | 0.9496 | 0.9225 | 0.9433 | 0.8982 | 0.9484 | 0.9226 | 0.9435 | 0.8993 | 0.9475 | 0.9228 | 0.9437 | 0.9004 | 0.9469 | 0.9230 | 0.9439 | 0.9019 | 0.9467 | 0.9237 | 0.9444 | 0.9034 | 0.9461 | 0.9243 | 0.9449 | 0.9047 | 0.9454 | 0.9246 | 0.9452 | 0.9056 | 0.9450 | 0.9248 | 0.9454 | 0.9065 | 0.9446 | 0.9252 | 0.9457 | 0.9074 | 0.9440 | 0.9254 | 0.9459 | 0.9085 | 0.9438 | 0.9258 | 0.9462 | 0.9093 | 0.9433 | 0.9260 | 0.9464 | 0.9100 | 0.9428 | 0.9261 | 0.9466 | 0.9109 | 0.9423 | 0.9263 | 0.9467 | 0.9118 | 0.9418 | 0.9266 | 0.9470 | 0.9124 | 0.9417 | 0.9268 | 0.9472 | 0.9130 | 0.9412 | 0.9269 | 0.9472 | 0.9140 | 0.9406 | 0.9271 | 0.9474 | 0.9146 | 0.9398 | 0.9271 | 0.9474 | 0.9158 | 0.9396 | 0.9275 | 0.9478 | 0.9170 | 0.9392 | 0.9279 | 0.9482 | 0.9177 | 0.9387 | 0.9281 | 0.9483 | 0.9185 | 0.9383 | 0.9283 | 0.9485 | 0.9193 | 0.9376 | 0.9284 | 0.9486 | 0.9200 | 0.9370 | 0.9284 | 0.9487 | 0.9206 | 0.9367 | 0.9286 | 0.9488 | 0.9214 | 0.9363 | 0.9288 | 0.9490 | 0.9219 | 0.9356 | 0.9287 | 0.9489 | 0.9224 | 0.9352 | 0.9288 | 0.9490 | 0.9228 | 0.9350 | 0.9289 | 0.9491 | 0.9234 | 0.9350 | 0.9292 | 0.9494 | 0.9241 | 0.9345 | 0.9293 | 0.9494 | 0.9250 | 0.9341 | 0.9295 | 0.9497 | 0.9256 | 0.9339 | 0.9298 | 0.9499 | 0.9269 | 0.9336 | 0.9302 | 0.9502 | 0.9273 | 0.9331 | 0.9302 | 0.9502 | 0.9276 | 0.9323 | 0.9299 | 0.9501 | 0.9284 | 0.9318 | 0.9301 | 0.9502 | 0.9290 | 0.9313 | 0.9301 | 0.9503 | 0.9296 | 0.9309 | 0.9303 | 0.9504 | 0.9306 | 0.9307 | 0.9307 | 0.9507 | 0.9320 | 0.9302 | 0.9311 | 0.9511 | 0.9327 | 0.9293 | 0.9310 | 0.9510 | 0.9333 | 0.9288 | 0.9310 | 0.9511 | 0.9340 | 0.9281 | 0.9310 | 0.9511 | 0.9347 | 0.9273 | 0.9310 | 0.9512 | 0.9354 | 0.9263 | 0.9309 | 0.9511 | 0.9364 | 0.9260 | 0.9311 | 0.9513 | 0.9373 | 0.9250 | 0.9311 | 0.9514 | 0.9383 | 0.9242 | 0.9312 | 0.9515 | 0.9392 | 0.9235 | 0.9313 | 0.9516 | 0.9402 | 0.9230 | 0.9315 | 0.9518 | 0.9410 | 0.9218 | 0.9313 | 0.9517 | 0.9421 | 0.9204 | 0.9311 | 0.9516 | 0.9428 | 0.9198 | 0.9312 | 0.9517 | 0.9439 | 0.9192 | 0.9314 | 0.9519 | 0.9448 | 0.9179 | 0.9312 | 0.9518 | 0.9460 | 0.9164 | 0.9310 | 0.9517 | 0.9479 | 0.9152 | 0.9313 | 0.9520 | 0.9493 | 0.9140 | 0.9313 | 0.9521 | 0.9504 | 0.9125 | 0.9311 | 0.9520 | 0.9517 | 0.9101 | 0.9304 | 0.9516 | 0.9529 | 0.9085 | 0.9302 | 0.9515 | 0.9542 | 0.9062 | 0.9296 | 0.9512 | 0.9555 | 0.9041 | 0.9291 | 0.9510 | 0.9566 | 0.9028 | 0.9289 | 0.9509 | 0.9577 | 0.9005 | 0.9282 | 0.9505 | 0.9600 | 0.8975 | 0.9277 | 0.9503 | 0.9620 | 0.8948 | 0.9272 | 0.9501 | 0.9639 | 0.89 | 0.9255 | 0.9491 | 0.9662 | 0.8857 | 0.9242 | 0.9484 | 0.9697 | 0.8790 | 0.9221 | 0.9472 | 0.9744 | 0.8685 | 0.9184 | 0.9452 | 0.9794 | 0.8508 | 0.9106 | 0.9406 | 0.9860 | 0.8112 | 0.8901 | 0.9288 |
|
| 449 |
+
| 3.574 | 2.0 | 8320 | 0.2679 | 0.9139 | 0.9550 | 0.9340 | 0.9520 | 0.9191 | 0.9520 | 0.9352 | 0.9531 | 0.9225 | 0.9505 | 0.9363 | 0.9540 | 0.9246 | 0.9493 | 0.9368 | 0.9545 | 0.9251 | 0.9479 | 0.9364 | 0.9542 | 0.9262 | 0.9472 | 0.9365 | 0.9544 | 0.9271 | 0.9468 | 0.9368 | 0.9546 | 0.9282 | 0.9463 | 0.9372 | 0.9549 | 0.9284 | 0.9460 | 0.9371 | 0.9549 | 0.9287 | 0.9453 | 0.9369 | 0.9548 | 0.9293 | 0.9449 | 0.9370 | 0.9549 | 0.9298 | 0.9449 | 0.9373 | 0.9550 | 0.9301 | 0.9445 | 0.9372 | 0.9550 | 0.9302 | 0.9440 | 0.9371 | 0.9549 | 0.9304 | 0.9437 | 0.9370 | 0.9549 | 0.9304 | 0.9435 | 0.9369 | 0.9548 | 0.9308 | 0.9434 | 0.9370 | 0.9549 | 0.9312 | 0.9432 | 0.9371 | 0.9550 | 0.9312 | 0.9431 | 0.9371 | 0.9550 | 0.9314 | 0.9429 | 0.9371 | 0.9550 | 0.9316 | 0.9428 | 0.9372 | 0.9551 | 0.9317 | 0.9428 | 0.9372 | 0.9551 | 0.9317 | 0.9423 | 0.9370 | 0.9549 | 0.9319 | 0.9421 | 0.9370 | 0.9550 | 0.9321 | 0.9421 | 0.9371 | 0.9550 | 0.9321 | 0.9420 | 0.9370 | 0.9550 | 0.9324 | 0.9420 | 0.9372 | 0.9551 | 0.9327 | 0.9419 | 0.9373 | 0.9552 | 0.9328 | 0.9418 | 0.9373 | 0.9552 | 0.9329 | 0.9418 | 0.9374 | 0.9553 | 0.9329 | 0.9417 | 0.9373 | 0.9552 | 0.9330 | 0.9415 | 0.9372 | 0.9552 | 0.9333 | 0.9412 | 0.9372 | 0.9552 | 0.9336 | 0.9409 | 0.9372 | 0.9552 | 0.9336 | 0.9409 | 0.9373 | 0.9552 | 0.9337 | 0.9408 | 0.9373 | 0.9552 | 0.9339 | 0.9408 | 0.9373 | 0.9553 | 0.9340 | 0.9407 | 0.9373 | 0.9553 | 0.9343 | 0.9406 | 0.9375 | 0.9554 | 0.9344 | 0.9405 | 0.9374 | 0.9554 | 0.9345 | 0.9404 | 0.9374 | 0.9554 | 0.9345 | 0.9402 | 0.9373 | 0.9553 | 0.9349 | 0.94 | 0.9374 | 0.9554 | 0.9353 | 0.9399 | 0.9376 | 0.9555 | 0.9356 | 0.9399 | 0.9378 | 0.9557 | 0.9356 | 0.9395 | 0.9376 | 0.9555 | 0.9357 | 0.9395 | 0.9376 | 0.9556 | 0.9358 | 0.9390 | 0.9374 | 0.9554 | 0.9360 | 0.9388 | 0.9374 | 0.9554 | 0.9360 | 0.9385 | 0.9373 | 0.9554 | 0.9363 | 0.9384 | 0.9374 | 0.9554 | 0.9364 | 0.9384 | 0.9374 | 0.9555 | 0.9366 | 0.9384 | 0.9375 | 0.9555 | 0.9366 | 0.9384 | 0.9375 | 0.9556 | 0.9368 | 0.9383 | 0.9376 | 0.9556 | 0.9370 | 0.9383 | 0.9377 | 0.9557 | 0.9374 | 0.9383 | 0.9379 | 0.9558 | 0.9374 | 0.9382 | 0.9378 | 0.9558 | 0.9374 | 0.9382 | 0.9378 | 0.9558 | 0.9374 | 0.9382 | 0.9378 | 0.9558 | 0.9375 | 0.9382 | 0.9378 | 0.9558 | 0.9376 | 0.9382 | 0.9379 | 0.9558 | 0.9379 | 0.9380 | 0.9379 | 0.9559 | 0.9381 | 0.9379 | 0.9380 | 0.9559 | 0.9381 | 0.9377 | 0.9379 | 0.9559 | 0.9383 | 0.9375 | 0.9379 | 0.9559 | 0.9386 | 0.9375 | 0.9380 | 0.9560 | 0.9387 | 0.9372 | 0.9379 | 0.9559 | 0.9387 | 0.9372 | 0.9379 | 0.9559 | 0.9388 | 0.9370 | 0.9379 | 0.9559 | 0.9389 | 0.9368 | 0.9378 | 0.9559 | 0.9391 | 0.9368 | 0.9380 | 0.9560 | 0.9393 | 0.9364 | 0.9378 | 0.9559 | 0.9393 | 0.9364 | 0.9378 | 0.9559 | 0.9393 | 0.9363 | 0.9378 | 0.9559 | 0.9396 | 0.9361 | 0.9378 | 0.9559 | 0.9398 | 0.9360 | 0.9379 | 0.9560 | 0.9404 | 0.9360 | 0.9382 | 0.9562 | 0.9407 | 0.9359 | 0.9383 | 0.9562 | 0.9409 | 0.9359 | 0.9384 | 0.9563 | 0.9410 | 0.9358 | 0.9384 | 0.9563 | 0.9411 | 0.9357 | 0.9384 | 0.9563 | 0.9413 | 0.9355 | 0.9384 | 0.9563 | 0.9413 | 0.9354 | 0.9383 | 0.9563 | 0.9420 | 0.9354 | 0.9387 | 0.9566 | 0.9423 | 0.9352 | 0.9388 | 0.9566 | 0.9428 | 0.9352 | 0.9390 | 0.9568 | 0.9432 | 0.9350 | 0.9391 | 0.9569 | 0.9438 | 0.9350 | 0.9393 | 0.9571 | 0.9442 | 0.9347 | 0.9394 | 0.9572 | 0.9449 | 0.9339 | 0.9394 | 0.9572 | 0.9454 | 0.9337 | 0.9395 | 0.9573 | 0.9459 | 0.9330 | 0.9394 | 0.9572 | 0.9463 | 0.9321 | 0.9392 | 0.9571 | 0.9469 | 0.9316 | 0.9392 | 0.9571 | 0.9481 | 0.9308 | 0.9394 | 0.9573 | 0.9491 | 0.9295 | 0.9392 | 0.9573 | 0.9501 | 0.9273 | 0.9386 | 0.9569 | 0.9549 | 0.9229 | 0.9387 | 0.9571 |
|
| 450 |
+
| 1.7597 | 2.9995 | 12477 | 0.3203 | 0.9384 | 0.9372 | 0.9378 | 0.9558 | 0.9411 | 0.9359 | 0.9385 | 0.9564 | 0.9417 | 0.9350 | 0.9384 | 0.9563 | 0.9421 | 0.9349 | 0.9385 | 0.9564 | 0.9429 | 0.9348 | 0.9388 | 0.9567 | 0.9431 | 0.9348 | 0.9389 | 0.9568 | 0.9432 | 0.9347 | 0.9389 | 0.9568 | 0.9437 | 0.9345 | 0.9391 | 0.9569 | 0.9437 | 0.9344 | 0.9390 | 0.9569 | 0.9438 | 0.9343 | 0.9391 | 0.9569 | 0.9439 | 0.9342 | 0.9390 | 0.9569 | 0.9440 | 0.9339 | 0.9389 | 0.9568 | 0.9442 | 0.9337 | 0.9389 | 0.9568 | 0.9444 | 0.9334 | 0.9389 | 0.9568 | 0.9448 | 0.9334 | 0.9391 | 0.9570 | 0.9449 | 0.9334 | 0.9391 | 0.9570 | 0.9450 | 0.9332 | 0.9391 | 0.9570 | 0.9450 | 0.9332 | 0.9391 | 0.9570 | 0.9452 | 0.9330 | 0.9391 | 0.9570 | 0.9454 | 0.9330 | 0.9392 | 0.9571 | 0.9455 | 0.9329 | 0.9392 | 0.9571 | 0.9455 | 0.9328 | 0.9391 | 0.9570 | 0.9455 | 0.9328 | 0.9391 | 0.9570 | 0.9456 | 0.9328 | 0.9391 | 0.9570 | 0.9456 | 0.9328 | 0.9391 | 0.9570 | 0.9457 | 0.9327 | 0.9391 | 0.9570 | 0.9458 | 0.9326 | 0.9392 | 0.9571 | 0.9459 | 0.9326 | 0.9392 | 0.9571 | 0.9460 | 0.9326 | 0.9392 | 0.9571 | 0.9461 | 0.9325 | 0.9392 | 0.9571 | 0.9462 | 0.9325 | 0.9393 | 0.9572 | 0.9462 | 0.9325 | 0.9393 | 0.9572 | 0.9464 | 0.9325 | 0.9394 | 0.9572 | 0.9465 | 0.9324 | 0.9394 | 0.9572 | 0.9464 | 0.9323 | 0.9393 | 0.9572 | 0.9467 | 0.9323 | 0.9394 | 0.9573 | 0.9467 | 0.9323 | 0.9394 | 0.9573 | 0.9467 | 0.9322 | 0.9394 | 0.9573 | 0.9467 | 0.9322 | 0.9394 | 0.9573 | 0.9467 | 0.9321 | 0.9393 | 0.9572 | 0.9467 | 0.9321 | 0.9393 | 0.9572 | 0.9467 | 0.9321 | 0.9393 | 0.9572 | 0.9468 | 0.9320 | 0.9393 | 0.9572 | 0.9470 | 0.9319 | 0.9394 | 0.9573 | 0.9469 | 0.9317 | 0.9393 | 0.9572 | 0.9469 | 0.9317 | 0.9393 | 0.9572 | 0.9469 | 0.9317 | 0.9393 | 0.9572 | 0.9470 | 0.9317 | 0.9393 | 0.9572 | 0.9471 | 0.9316 | 0.9393 | 0.9572 | 0.9471 | 0.9316 | 0.9393 | 0.9572 | 0.9471 | 0.9316 | 0.9393 | 0.9572 | 0.9472 | 0.9316 | 0.9393 | 0.9572 | 0.9473 | 0.9314 | 0.9393 | 0.9572 | 0.9473 | 0.9314 | 0.9393 | 0.9572 | 0.9474 | 0.9314 | 0.9393 | 0.9572 | 0.9474 | 0.9312 | 0.9392 | 0.9572 | 0.9474 | 0.9312 | 0.9392 | 0.9572 | 0.9473 | 0.9310 | 0.9391 | 0.9571 | 0.9473 | 0.9310 | 0.9391 | 0.9571 | 0.9474 | 0.9310 | 0.9392 | 0.9571 | 0.9474 | 0.9310 | 0.9392 | 0.9571 | 0.9475 | 0.9309 | 0.9391 | 0.9571 | 0.9476 | 0.9307 | 0.9391 | 0.9571 | 0.9476 | 0.9306 | 0.9390 | 0.9571 | 0.9477 | 0.9306 | 0.9390 | 0.9571 | 0.9477 | 0.9306 | 0.9390 | 0.9571 | 0.9477 | 0.9304 | 0.9389 | 0.9570 | 0.9478 | 0.9304 | 0.9390 | 0.9570 | 0.9477 | 0.9302 | 0.9389 | 0.9570 | 0.9479 | 0.9302 | 0.9390 | 0.9570 | 0.9479 | 0.9301 | 0.9389 | 0.9570 | 0.9480 | 0.9299 | 0.9389 | 0.9570 | 0.9481 | 0.9299 | 0.9389 | 0.9570 | 0.9481 | 0.9299 | 0.9389 | 0.9570 | 0.9482 | 0.9299 | 0.9390 | 0.9570 | 0.9482 | 0.9299 | 0.9390 | 0.9570 | 0.9483 | 0.9298 | 0.9389 | 0.9570 | 0.9483 | 0.9297 | 0.9389 | 0.9570 | 0.9484 | 0.9297 | 0.9390 | 0.9571 | 0.9485 | 0.9296 | 0.9390 | 0.9571 | 0.9485 | 0.9294 | 0.9389 | 0.9570 | 0.9485 | 0.9294 | 0.9389 | 0.9570 | 0.9486 | 0.9294 | 0.9389 | 0.9570 | 0.9488 | 0.9294 | 0.9390 | 0.9571 | 0.9491 | 0.9293 | 0.9391 | 0.9572 | 0.9495 | 0.9293 | 0.9393 | 0.9573 | 0.9495 | 0.9292 | 0.9392 | 0.9573 | 0.9496 | 0.9292 | 0.9393 | 0.9573 | 0.9497 | 0.9290 | 0.9392 | 0.9573 | 0.9499 | 0.9289 | 0.9393 | 0.9573 | 0.9501 | 0.9287 | 0.9393 | 0.9573 | 0.9503 | 0.9287 | 0.9394 | 0.9574 | 0.9507 | 0.9285 | 0.9395 | 0.9575 | 0.9509 | 0.9283 | 0.9394 | 0.9575 | 0.9512 | 0.9281 | 0.9395 | 0.9575 | 0.9515 | 0.9277 | 0.9395 | 0.9575 | 0.9520 | 0.9270 | 0.9393 | 0.9575 | 0.9525 | 0.9267 | 0.9394 | 0.9575 | 0.9537 | 0.9246 | 0.9389 | 0.9573 |
|
| 451 |
+
|
| 452 |
+
|
| 453 |
+
### Framework versions
|
| 454 |
+
|
| 455 |
+
- Transformers 4.48.0.dev0
|
| 456 |
+
- Pytorch 2.5.1+cu124
|
| 457 |
+
- Datasets 3.2.0
|
| 458 |
+
- Tokenizers 0.21.0
|
best_model/config.json
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "answerdotai/ModernBERT-large",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ModernBertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 50281,
|
| 9 |
+
"classifier_activation": "gelu",
|
| 10 |
+
"classifier_bias": false,
|
| 11 |
+
"classifier_dropout": 0.0,
|
| 12 |
+
"classifier_pooling": "mean",
|
| 13 |
+
"cls_token_id": 50281,
|
| 14 |
+
"decoder_bias": true,
|
| 15 |
+
"deterministic_flash_attn": false,
|
| 16 |
+
"embedding_dropout": 0.0,
|
| 17 |
+
"eos_token_id": 50282,
|
| 18 |
+
"global_attn_every_n_layers": 3,
|
| 19 |
+
"global_rope_theta": 160000.0,
|
| 20 |
+
"gradient_checkpointing": false,
|
| 21 |
+
"hidden_activation": "gelu",
|
| 22 |
+
"hidden_size": 1024,
|
| 23 |
+
"initializer_cutoff_factor": 2.0,
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 2624,
|
| 26 |
+
"layer_norm_eps": 1e-05,
|
| 27 |
+
"local_attention": 128,
|
| 28 |
+
"local_rope_theta": 10000.0,
|
| 29 |
+
"max_position_embeddings": 8192,
|
| 30 |
+
"mlp_bias": false,
|
| 31 |
+
"mlp_dropout": 0.0,
|
| 32 |
+
"model_type": "modernbert",
|
| 33 |
+
"norm_bias": false,
|
| 34 |
+
"norm_eps": 1e-05,
|
| 35 |
+
"num_attention_heads": 16,
|
| 36 |
+
"num_hidden_layers": 28,
|
| 37 |
+
"pad_token_id": 50283,
|
| 38 |
+
"position_embedding_type": "absolute",
|
| 39 |
+
"problem_type": "single_label_classification",
|
| 40 |
+
"reference_compile": true,
|
| 41 |
+
"sep_token_id": 50282,
|
| 42 |
+
"sparse_pred_ignore_index": -100,
|
| 43 |
+
"sparse_prediction": false,
|
| 44 |
+
"torch_dtype": "float32",
|
| 45 |
+
"transformers_version": "4.48.0.dev0",
|
| 46 |
+
"vocab_size": 50368
|
| 47 |
+
}
|
best_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec047acc73a097a16d411ea7ea4f3f5411fcb02ee7c652200c0aefe5da05408e
|
| 3 |
+
size 1583351632
|
best_model/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
best_model/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
best_model/tokenizer_config.json
ADDED
|
@@ -0,0 +1,945 @@
|
|
|
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| 1 |
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| 2 |
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| 3 |
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| 39 |
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best_model/training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6bd3677ea1eccc44b109249c4ddb7b15a7234623fcbfbd57f865a18eeff56f3
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| 3 |
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size 5432
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config.json
ADDED
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@@ -0,0 +1,47 @@
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|
| 1 |
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{
|
| 2 |
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"_name_or_path": "answerdotai/ModernBERT-large",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ModernBertForSequenceClassification"
|
| 5 |
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],
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
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|
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|
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|
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|
| 15 |
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|
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|
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|
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|
| 19 |
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|
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"hidden_activation": "gelu",
|
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|
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|
| 24 |
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|
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
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|
| 30 |
+
"mlp_bias": false,
|
| 31 |
+
"mlp_dropout": 0.0,
|
| 32 |
+
"model_type": "modernbert",
|
| 33 |
+
"norm_bias": false,
|
| 34 |
+
"norm_eps": 1e-05,
|
| 35 |
+
"num_attention_heads": 16,
|
| 36 |
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|
| 37 |
+
"pad_token_id": 50283,
|
| 38 |
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"position_embedding_type": "absolute",
|
| 39 |
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"problem_type": "single_label_classification",
|
| 40 |
+
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|
| 41 |
+
"sep_token_id": 50282,
|
| 42 |
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|
| 43 |
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"sparse_prediction": false,
|
| 44 |
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"torch_dtype": "float32",
|
| 45 |
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"transformers_version": "4.48.0.dev0",
|
| 46 |
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"vocab_size": 50368
|
| 47 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:ec047acc73a097a16d411ea7ea4f3f5411fcb02ee7c652200c0aefe5da05408e
|
| 3 |
+
size 1583351632
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
+
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|
| 4 |
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|
| 5 |
+
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
},
|
| 9 |
+
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|
| 10 |
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"content": "[MASK]",
|
| 11 |
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"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
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|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,945 @@
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|
|
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "|||IP_ADDRESS|||",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": false
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<|padding|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"50254": {
|
| 20 |
+
"content": " ",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": false
|
| 26 |
+
},
|
| 27 |
+
"50255": {
|
| 28 |
+
"content": " ",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": false
|
| 34 |
+
},
|
| 35 |
+
"50256": {
|
| 36 |
+
"content": " ",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": true,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": false
|
| 42 |
+
},
|
| 43 |
+
"50257": {
|
| 44 |
+
"content": " ",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": true,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": false
|
| 50 |
+
},
|
| 51 |
+
"50258": {
|
| 52 |
+
"content": " ",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": true,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": false
|
| 58 |
+
},
|
| 59 |
+
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"unk_token": "[UNK]"
|
| 945 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6bd3677ea1eccc44b109249c4ddb7b15a7234623fcbfbd57f865a18eeff56f3
|
| 3 |
+
size 5432
|