Initial Commit

README.md

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+---
+license: mit
+base_model: haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- hate_speech_filipino
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-non-kd-from-post-finetune-div-2-data-hate_speech_filipino-model-haryoaw
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# scenario-non-kd-from-post-finetune-div-2-data-hate_speech_filipino-model-haryoaw
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.3495
+- Accuracy: 0.7779
+- F1: 0.7601
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6969
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.32  | 100  | 0.5751          | 0.7339   | 0.7510 |
+| No log        | 0.64  | 200  | 0.5171          | 0.7717   | 0.7450 |
+| No log        | 0.96  | 300  | 0.4969          | 0.7784   | 0.7539 |
+| No log        | 1.28  | 400  | 0.5408          | 0.7819   | 0.7548 |
+| 0.4175        | 1.6   | 500  | 0.5410          | 0.7635   | 0.7597 |
+| 0.4175        | 1.92  | 600  | 0.5166          | 0.7767   | 0.7324 |
+| 0.4175        | 2.24  | 700  | 0.5823          | 0.7651   | 0.7450 |
+| 0.4175        | 2.56  | 800  | 0.5731          | 0.7672   | 0.7293 |
+| 0.4175        | 2.88  | 900  | 0.6860          | 0.7769   | 0.7458 |
+| 0.2936        | 3.19  | 1000 | 0.7409          | 0.7684   | 0.7659 |
+| 0.2936        | 3.51  | 1100 | 0.6544          | 0.7772   | 0.7487 |
+| 0.2936        | 3.83  | 1200 | 0.6719          | 0.7604   | 0.7613 |
+| 0.2936        | 4.15  | 1300 | 0.8242          | 0.7781   | 0.7471 |
+| 0.2936        | 4.47  | 1400 | 0.8741          | 0.7838   | 0.7472 |
+| 0.199         | 4.79  | 1500 | 0.7415          | 0.7755   | 0.7509 |
+| 0.199         | 5.11  | 1600 | 0.9389          | 0.7897   | 0.7615 |
+| 0.199         | 5.43  | 1700 | 0.7985          | 0.7840   | 0.7693 |
+| 0.199         | 5.75  | 1800 | 0.9223          | 0.7741   | 0.7600 |
+| 0.199         | 6.07  | 1900 | 1.0076          | 0.7727   | 0.7667 |
+| 0.1553        | 6.39  | 2000 | 0.8541          | 0.7800   | 0.7682 |
+| 0.1553        | 6.71  | 2100 | 0.9460          | 0.7810   | 0.7600 |
+| 0.1553        | 7.03  | 2200 | 1.0575          | 0.7791   | 0.7571 |
+| 0.1553        | 7.35  | 2300 | 1.0487          | 0.7687   | 0.7657 |
+| 0.1553        | 7.67  | 2400 | 0.8495          | 0.7732   | 0.7568 |
+| 0.1316        | 7.99  | 2500 | 0.9467          | 0.7812   | 0.7658 |
+| 0.1316        | 8.31  | 2600 | 1.0491          | 0.7722   | 0.7611 |
+| 0.1316        | 8.63  | 2700 | 1.0363          | 0.7691   | 0.7275 |
+| 0.1316        | 8.95  | 2800 | 0.9130          | 0.7758   | 0.7448 |
+| 0.1316        | 9.27  | 2900 | 1.4607          | 0.7717   | 0.7562 |
+| 0.1137        | 9.58  | 3000 | 1.1874          | 0.7727   | 0.7567 |
+| 0.1137        | 9.9   | 3100 | 1.1752          | 0.7836   | 0.7672 |
+| 0.1137        | 10.22 | 3200 | 1.3495          | 0.7779   | 0.7601 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "haryoaw/scenario-teacher-data-hate_speech_filipino-model-xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassificationKD"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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training_args.bin

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