Initial Commit

README.md

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+---
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-KD-PR-MSV-D2_data-cl-cardiff_cl_only_alpha-jason
+  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-PR-MSV-D2_data-cl-cardiff_cl_only_alpha-jason
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 16.2447
+- Accuracy: 0.3866
+- F1: 0.3858
+
+## 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: 2222
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.09  | 250  | 12.0259         | 0.3449   | 0.3171 |
+| 14.0331       | 2.17  | 500  | 11.3284         | 0.3819   | 0.3694 |
+| 14.0331       | 3.26  | 750  | 11.1163         | 0.3951   | 0.3941 |
+| 11.7619       | 4.35  | 1000 | 11.5284         | 0.3796   | 0.3733 |
+| 11.7619       | 5.43  | 1250 | 11.3713         | 0.4174   | 0.4154 |
+| 9.9697        | 6.52  | 1500 | 11.7460         | 0.3850   | 0.3770 |
+| 9.9697        | 7.61  | 1750 | 12.6216         | 0.3927   | 0.3863 |
+| 8.7178        | 8.7   | 2000 | 12.5277         | 0.4020   | 0.4005 |
+| 8.7178        | 9.78  | 2250 | 11.8300         | 0.3912   | 0.3911 |
+| 7.7259        | 10.87 | 2500 | 12.7404         | 0.4051   | 0.4035 |
+| 7.7259        | 11.96 | 2750 | 13.6012         | 0.4051   | 0.4037 |
+| 6.6383        | 13.04 | 3000 | 14.1112         | 0.3912   | 0.3884 |
+| 6.6383        | 14.13 | 3250 | 14.0430         | 0.3920   | 0.3881 |
+| 5.7088        | 15.22 | 3500 | 13.9183         | 0.3966   | 0.3951 |
+| 5.7088        | 16.3  | 3750 | 14.5237         | 0.3904   | 0.3858 |
+| 5.1104        | 17.39 | 4000 | 15.0371         | 0.4012   | 0.4011 |
+| 5.1104        | 18.48 | 4250 | 15.4539         | 0.3866   | 0.3814 |
+| 4.587         | 19.57 | 4500 | 14.4770         | 0.3989   | 0.3982 |
+| 4.587         | 20.65 | 4750 | 15.9417         | 0.4136   | 0.4103 |
+| 4.1118        | 21.74 | 5000 | 15.0406         | 0.3966   | 0.3966 |
+| 4.1118        | 22.83 | 5250 | 16.1274         | 0.4020   | 0.4016 |
+| 3.7338        | 23.91 | 5500 | 15.8530         | 0.3858   | 0.3835 |
+| 3.7338        | 25.0  | 5750 | 16.3221         | 0.4090   | 0.4074 |
+| 3.4628        | 26.09 | 6000 | 16.5572         | 0.4028   | 0.4017 |
+| 3.4628        | 27.17 | 6250 | 16.4879         | 0.3881   | 0.3868 |
+| 3.3012        | 28.26 | 6500 | 16.4834         | 0.3997   | 0.3995 |
+| 3.3012        | 29.35 | 6750 | 16.2447         | 0.3866   | 0.3858 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "FacebookAI/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": 384,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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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