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scenario-kd-from-post-finetune-gold-silver-div-2-data-hate_speech_filipino-model

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PyTorch
xlm-roberta
Generated from Trainer
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  1. README.md +124 -0
  2. config.json +29 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - hate_speech_filipino
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: scenario-kd-from-post-finetune-gold-silver-div-2-data-hate_speech_filipino-model
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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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+ # scenario-kd-from-post-finetune-gold-silver-div-2-data-hate_speech_filipino-model
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+
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+ This model is a fine-tuned version of [haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base](https://huggingface.co/haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base) on the hate_speech_filipino dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8676
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+ - Accuracy: 0.7836
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+ - F1: 0.7765
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 6969
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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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0.32 | 100 | 1.4538 | 0.7609 | 0.7566 |
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+ | No log | 0.64 | 200 | 1.2488 | 0.7625 | 0.7594 |
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+ | No log | 0.96 | 300 | 1.1488 | 0.7691 | 0.7658 |
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+ | No log | 1.28 | 400 | 1.0930 | 0.7836 | 0.7666 |
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+ | 1.2528 | 1.6 | 500 | 1.1216 | 0.7802 | 0.7576 |
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+ | 1.2528 | 1.92 | 600 | 1.0502 | 0.7696 | 0.7658 |
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+ | 1.2528 | 2.24 | 700 | 1.1185 | 0.7698 | 0.7729 |
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+ | 1.2528 | 2.56 | 800 | 1.1002 | 0.7739 | 0.7621 |
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+ | 1.2528 | 2.88 | 900 | 1.0090 | 0.7807 | 0.7662 |
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+ | 0.8257 | 3.19 | 1000 | 1.0320 | 0.7836 | 0.7673 |
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+ | 0.8257 | 3.51 | 1100 | 1.0162 | 0.7869 | 0.7673 |
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+ | 0.8257 | 3.83 | 1200 | 0.9923 | 0.7880 | 0.7677 |
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+ | 0.8257 | 4.15 | 1300 | 1.0061 | 0.7845 | 0.7653 |
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+ | 0.8257 | 4.47 | 1400 | 0.9962 | 0.7878 | 0.7710 |
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+ | 0.6686 | 4.79 | 1500 | 1.0640 | 0.7791 | 0.7774 |
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+ | 0.6686 | 5.11 | 1600 | 0.9700 | 0.7864 | 0.7634 |
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+ | 0.6686 | 5.43 | 1700 | 0.9535 | 0.7885 | 0.7680 |
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+ | 0.6686 | 5.75 | 1800 | 0.9281 | 0.7961 | 0.7730 |
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+ | 0.6686 | 6.07 | 1900 | 0.9843 | 0.7776 | 0.7754 |
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+ | 0.5743 | 6.39 | 2000 | 0.9219 | 0.7937 | 0.7721 |
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+ | 0.5743 | 6.71 | 2100 | 0.9237 | 0.7880 | 0.7760 |
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+ | 0.5743 | 7.03 | 2200 | 0.9497 | 0.7899 | 0.7703 |
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+ | 0.5743 | 7.35 | 2300 | 0.9365 | 0.7859 | 0.7747 |
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+ | 0.5743 | 7.67 | 2400 | 1.0137 | 0.7663 | 0.7722 |
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+ | 0.5272 | 7.99 | 2500 | 0.9682 | 0.7895 | 0.7678 |
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+ | 0.5272 | 8.31 | 2600 | 0.9419 | 0.7843 | 0.7752 |
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+ | 0.5272 | 8.63 | 2700 | 0.9684 | 0.7864 | 0.7792 |
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+ | 0.5272 | 8.95 | 2800 | 0.9374 | 0.7935 | 0.7745 |
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+ | 0.5272 | 9.27 | 2900 | 0.9877 | 0.7935 | 0.7790 |
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+ | 0.4948 | 9.58 | 3000 | 0.9243 | 0.7859 | 0.7747 |
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+ | 0.4948 | 9.9 | 3100 | 0.8968 | 0.7885 | 0.7710 |
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+ | 0.4948 | 10.22 | 3200 | 0.8843 | 0.7845 | 0.7715 |
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+ | 0.4948 | 10.54 | 3300 | 0.9175 | 0.7911 | 0.7738 |
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+ | 0.4948 | 10.86 | 3400 | 0.9012 | 0.7932 | 0.7754 |
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+ | 0.4658 | 11.18 | 3500 | 0.8939 | 0.7836 | 0.7739 |
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+ | 0.4658 | 11.5 | 3600 | 0.9108 | 0.7819 | 0.7774 |
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+ | 0.4658 | 11.82 | 3700 | 0.9651 | 0.7788 | 0.7771 |
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+ | 0.4658 | 12.14 | 3800 | 0.8833 | 0.7949 | 0.7732 |
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+ | 0.4658 | 12.46 | 3900 | 0.8860 | 0.7968 | 0.7777 |
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+ | 0.4449 | 12.78 | 4000 | 0.8929 | 0.7873 | 0.7745 |
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+ | 0.4449 | 13.1 | 4100 | 0.9065 | 0.7885 | 0.7824 |
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+ | 0.4449 | 13.42 | 4200 | 0.9258 | 0.7802 | 0.7756 |
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+ | 0.4449 | 13.74 | 4300 | 0.9231 | 0.7833 | 0.7818 |
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+ | 0.4449 | 14.06 | 4400 | 0.8578 | 0.8001 | 0.7825 |
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+ | 0.4249 | 14.38 | 4500 | 0.8835 | 0.7873 | 0.7838 |
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+ | 0.4249 | 14.7 | 4600 | 0.9011 | 0.7909 | 0.7847 |
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+ | 0.4249 | 15.02 | 4700 | 0.9035 | 0.7852 | 0.7816 |
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+ | 0.4249 | 15.34 | 4800 | 0.8461 | 0.7956 | 0.7776 |
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+ | 0.4249 | 15.65 | 4900 | 0.8402 | 0.7928 | 0.7835 |
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+ | 0.4159 | 15.97 | 5000 | 0.8629 | 0.7888 | 0.7782 |
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+ | 0.4159 | 16.29 | 5100 | 0.8737 | 0.7925 | 0.7737 |
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+ | 0.4159 | 16.61 | 5200 | 0.8610 | 0.7916 | 0.7736 |
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+ | 0.4159 | 16.93 | 5300 | 0.8533 | 0.7977 | 0.7819 |
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+ | 0.4159 | 17.25 | 5400 | 0.8838 | 0.7906 | 0.7778 |
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+ | 0.4032 | 17.57 | 5500 | 0.8602 | 0.7925 | 0.7793 |
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+ | 0.4032 | 17.89 | 5600 | 0.8505 | 0.7942 | 0.7805 |
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+ | 0.4032 | 18.21 | 5700 | 0.8540 | 0.7824 | 0.7782 |
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+ | 0.4032 | 18.53 | 5800 | 0.9424 | 0.7916 | 0.7589 |
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+ | 0.4032 | 18.85 | 5900 | 0.8829 | 0.7859 | 0.7796 |
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+ | 0.3915 | 19.17 | 6000 | 0.8206 | 0.7975 | 0.7844 |
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+ | 0.3915 | 19.49 | 6100 | 0.8676 | 0.7836 | 0.7765 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base",
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+ "architectures": [
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+ "XLMRobertaForSequenceClassificationKD"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 250002
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+ }
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