Initial Commit

README.md

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+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- hate_speech_filipino
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-kd-from-scratch-silver-data-hate_speech_filipino-model-xlm-roberta-base
+  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-kd-from-scratch-silver-data-hate_speech_filipino-model-xlm-roberta-base
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the hate_speech_filipino dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1354
+- Accuracy: 0.7665
+- F1: 0.7412
+
+## 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  | 2.4557          | 0.6656   | 0.6952 |
+| No log        | 0.64  | 200  | 2.0812          | 0.7063   | 0.7186 |
+| No log        | 0.96  | 300  | 1.9137          | 0.7079   | 0.7300 |
+| No log        | 1.28  | 400  | 1.8171          | 0.7172   | 0.7401 |
+| 2.5353        | 1.6   | 500  | 1.7305          | 0.7462   | 0.6959 |
+| 2.5353        | 1.92  | 600  | 2.3251          | 0.6645   | 0.7221 |
+| 2.5353        | 2.24  | 700  | 1.5004          | 0.7571   | 0.7299 |
+| 2.5353        | 2.56  | 800  | 1.7161          | 0.7431   | 0.6752 |
+| 2.5353        | 2.88  | 900  | 1.3750          | 0.7519   | 0.7400 |
+| 1.5143        | 3.19  | 1000 | 1.6104          | 0.7561   | 0.6968 |
+| 1.5143        | 3.51  | 1100 | 1.4419          | 0.7561   | 0.7104 |
+| 1.5143        | 3.83  | 1200 | 1.3306          | 0.7450   | 0.7496 |
+| 1.5143        | 4.15  | 1300 | 1.4285          | 0.7668   | 0.7352 |
+| 1.5143        | 4.47  | 1400 | 1.3335          | 0.7576   | 0.7552 |
+| 1.1029        | 4.79  | 1500 | 1.3649          | 0.7394   | 0.7487 |
+| 1.1029        | 5.11  | 1600 | 1.5830          | 0.7224   | 0.7434 |
+| 1.1029        | 5.43  | 1700 | 1.2794          | 0.7592   | 0.7560 |
+| 1.1029        | 5.75  | 1800 | 1.2877          | 0.7547   | 0.7165 |
+| 1.1029        | 6.07  | 1900 | 1.2428          | 0.7637   | 0.7325 |
+| 0.8948        | 6.39  | 2000 | 1.2774          | 0.7387   | 0.7494 |
+| 0.8948        | 6.71  | 2100 | 1.2324          | 0.7628   | 0.7354 |
+| 0.8948        | 7.03  | 2200 | 1.3675          | 0.7387   | 0.7505 |
+| 0.8948        | 7.35  | 2300 | 1.2021          | 0.7670   | 0.7490 |
+| 0.8948        | 7.67  | 2400 | 1.3012          | 0.7682   | 0.7348 |
+| 0.7714        | 7.99  | 2500 | 1.2338          | 0.7580   | 0.7210 |
+| 0.7714        | 8.31  | 2600 | 1.2189          | 0.7628   | 0.7519 |
+| 0.7714        | 8.63  | 2700 | 1.2962          | 0.7410   | 0.7526 |
+| 0.7714        | 8.95  | 2800 | 1.3151          | 0.7675   | 0.7416 |
+| 0.7714        | 9.27  | 2900 | 1.1539          | 0.7616   | 0.7528 |
+| 0.7096        | 9.58  | 3000 | 1.3696          | 0.7561   | 0.7523 |
+| 0.7096        | 9.9   | 3100 | 1.2055          | 0.7514   | 0.7533 |
+| 0.7096        | 10.22 | 3200 | 1.1354          | 0.7665   | 0.7412 |
+
+
+### 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": "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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training_args.bin

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