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classification_phobert-v2

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Inference Endpoints
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: agpl-3.0
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+ base_model: vinai/phobert-base-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: classification_phobert-v2
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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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+ # classification_phobert-v2
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+
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+ This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4251
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+ - F1: 0.9439
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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: 3e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.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: 40.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 194 | 0.2289 | 0.9347 |
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+ | No log | 2.0 | 388 | 0.1812 | 0.9400 |
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+ | 0.2405 | 3.0 | 582 | 0.1774 | 0.9447 |
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+ | 0.2405 | 4.0 | 776 | 0.1997 | 0.9433 |
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+ | 0.2405 | 5.0 | 970 | 0.2236 | 0.9428 |
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+ | 0.1112 | 6.0 | 1164 | 0.2448 | 0.9380 |
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+ | 0.1112 | 7.0 | 1358 | 0.2250 | 0.9442 |
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+ | 0.0717 | 8.0 | 1552 | 0.2410 | 0.9414 |
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+ | 0.0717 | 9.0 | 1746 | 0.2488 | 0.9414 |
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+ | 0.0717 | 10.0 | 1940 | 0.2667 | 0.9447 |
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+ | 0.0525 | 11.0 | 2134 | 0.2683 | 0.9456 |
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+ | 0.0525 | 12.0 | 2328 | 0.3145 | 0.9414 |
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+ | 0.0402 | 13.0 | 2522 | 0.2749 | 0.9467 |
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+ | 0.0402 | 14.0 | 2716 | 0.3030 | 0.9430 |
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+ | 0.0402 | 15.0 | 2910 | 0.3059 | 0.9458 |
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+ | 0.0285 | 16.0 | 3104 | 0.3260 | 0.9425 |
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+ | 0.0285 | 17.0 | 3298 | 0.3208 | 0.9464 |
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+ | 0.0285 | 18.0 | 3492 | 0.3752 | 0.9394 |
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+ | 0.0225 | 19.0 | 3686 | 0.3408 | 0.9450 |
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+ | 0.0225 | 20.0 | 3880 | 0.4128 | 0.9366 |
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+ | 0.0166 | 21.0 | 4074 | 0.3799 | 0.9408 |
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+ | 0.0166 | 22.0 | 4268 | 0.3940 | 0.9389 |
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+ | 0.0166 | 23.0 | 4462 | 0.3740 | 0.9450 |
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+ | 0.0153 | 24.0 | 4656 | 0.3810 | 0.9400 |
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+ | 0.0153 | 25.0 | 4850 | 0.4278 | 0.9403 |
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+ | 0.0122 | 26.0 | 5044 | 0.3878 | 0.9436 |
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+ | 0.0122 | 27.0 | 5238 | 0.3903 | 0.9433 |
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+ | 0.0122 | 28.0 | 5432 | 0.3904 | 0.9442 |
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+ | 0.0114 | 29.0 | 5626 | 0.4205 | 0.9428 |
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+ | 0.0114 | 30.0 | 5820 | 0.3969 | 0.9433 |
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+ | 0.0096 | 31.0 | 6014 | 0.3967 | 0.9439 |
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+ | 0.0096 | 32.0 | 6208 | 0.4009 | 0.9442 |
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+ | 0.0096 | 33.0 | 6402 | 0.4054 | 0.9439 |
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+ | 0.0082 | 34.0 | 6596 | 0.4115 | 0.9422 |
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+ | 0.0082 | 35.0 | 6790 | 0.4228 | 0.9430 |
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+ | 0.0082 | 36.0 | 6984 | 0.4165 | 0.9442 |
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+ | 0.0083 | 37.0 | 7178 | 0.4226 | 0.9436 |
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+ | 0.0083 | 38.0 | 7372 | 0.4262 | 0.9430 |
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+ | 0.0071 | 39.0 | 7566 | 0.4231 | 0.9436 |
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+ | 0.0071 | 40.0 | 7760 | 0.4251 | 0.9439 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.21.0
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