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Albert-Base

Text Classification
Transformers
Safetensors
albert
Generated from Trainer
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: albert/albert-base-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: Albert-Base
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+ results: []
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+ ---
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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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+
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+ # Albert-Base
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+
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+ This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2950
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+ - Accuracy: 0.9234
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 512
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 40
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4359 | 1.0 | 158 | 0.3263 | 0.9016 |
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+ | 0.2711 | 2.0 | 316 | 0.3180 | 0.9063 |
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+ | 0.1583 | 3.0 | 474 | 0.3126 | 0.9117 |
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+ | 0.1463 | 4.0 | 632 | 0.3113 | 0.9132 |
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+ | 0.0722 | 5.0 | 790 | 0.2950 | 0.9234 |
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+ | 0.0627 | 6.0 | 948 | 0.3461 | 0.9178 |
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+ | 0.0528 | 7.0 | 1106 | 0.3541 | 0.9177 |
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+ | 0.0336 | 8.0 | 1264 | 0.3469 | 0.9251 |
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+ | 0.0416 | 9.0 | 1422 | 0.4367 | 0.9130 |
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+ | 0.0356 | 10.0 | 1580 | 0.3814 | 0.9226 |
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+ | 0.0092 | 11.0 | 1738 | 0.4591 | 0.9206 |
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+ | 0.0127 | 12.0 | 1896 | 0.4355 | 0.9277 |
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+ | 0.0055 | 13.0 | 2054 | 0.4419 | 0.9264 |
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+ | 0.0019 | 14.0 | 2212 | 0.4578 | 0.9297 |
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+ | 0.0009 | 15.0 | 2370 | 0.4947 | 0.9284 |
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+ | 0.0017 | 16.0 | 2528 | 0.4893 | 0.9318 |
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+ | 0.0003 | 17.0 | 2686 | 0.5132 | 0.9278 |
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+ | 0.0013 | 18.0 | 2844 | 0.4901 | 0.9307 |
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+ | 0.0029 | 19.0 | 3002 | 0.5176 | 0.9301 |
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+ | 0.0064 | 20.0 | 3160 | 0.5325 | 0.9321 |
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+ | 0.0001 | 21.0 | 3318 | 0.5367 | 0.9294 |
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+ | 0.0001 | 22.0 | 3476 | 0.5389 | 0.9309 |
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+ | 0.008 | 23.0 | 3634 | 0.5888 | 0.9274 |
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+ | 0.0001 | 24.0 | 3792 | 0.5542 | 0.9315 |
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+ | 0.0003 | 25.0 | 3950 | 0.5350 | 0.9323 |
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+ | 0.0 | 26.0 | 4108 | 0.5480 | 0.9312 |
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+ | 0.0 | 27.0 | 4266 | 0.5337 | 0.9343 |
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+ | 0.0 | 28.0 | 4424 | 0.5453 | 0.9331 |
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+ | 0.0 | 29.0 | 4582 | 0.5434 | 0.9333 |
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+ | 0.0 | 30.0 | 4740 | 0.5443 | 0.9335 |
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+ | 0.0 | 31.0 | 4898 | 0.5457 | 0.9338 |
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+ | 0.0 | 32.0 | 5056 | 0.5468 | 0.9339 |
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+ | 0.0 | 33.0 | 5214 | 0.5481 | 0.9339 |
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+ | 0.0 | 34.0 | 5372 | 0.5492 | 0.9339 |
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+ | 0.0 | 35.0 | 5530 | 0.5503 | 0.9343 |
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+ | 0.0 | 36.0 | 5688 | 0.5511 | 0.9345 |
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+ | 0.0 | 37.0 | 5846 | 0.5519 | 0.9343 |
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+ | 0.0 | 38.0 | 6004 | 0.5525 | 0.9343 |
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+ | 0.0 | 39.0 | 6162 | 0.5529 | 0.9343 |
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+ | 0.0 | 40.0 | 6320 | 0.5530 | 0.9343 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Tokenizers 0.21.0
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