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-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only_delta-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-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only_delta-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: 25.8673
+- Accuracy: 0.3959
+- F1: 0.3838
+
+## 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: 7777
+- 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        | 1.72  | 100  | 21.4869         | 0.3399   | 0.2229 |
+| No log        | 3.45  | 200  | 21.6387         | 0.3699   | 0.3103 |
+| No log        | 5.17  | 300  | 21.3511         | 0.3907   | 0.3762 |
+| No log        | 6.9   | 400  | 21.9513         | 0.3968   | 0.3590 |
+| 22.0328       | 8.62  | 500  | 21.5760         | 0.4048   | 0.3925 |
+| 22.0328       | 10.34 | 600  | 21.8280         | 0.4259   | 0.4236 |
+| 22.0328       | 12.07 | 700  | 22.1319         | 0.4096   | 0.4040 |
+| 22.0328       | 13.79 | 800  | 23.1465         | 0.3884   | 0.3602 |
+| 22.0328       | 15.52 | 900  | 23.6087         | 0.3907   | 0.3658 |
+| 15.8082       | 17.24 | 1000 | 24.1019         | 0.3968   | 0.3767 |
+| 15.8082       | 18.97 | 1100 | 24.2550         | 0.3973   | 0.3850 |
+| 15.8082       | 20.69 | 1200 | 23.9667         | 0.4092   | 0.4043 |
+| 15.8082       | 22.41 | 1300 | 25.2656         | 0.4145   | 0.4010 |
+| 15.8082       | 24.14 | 1400 | 26.0200         | 0.3893   | 0.3638 |
+| 11.3074       | 25.86 | 1500 | 25.2350         | 0.4101   | 0.3887 |
+| 11.3074       | 27.59 | 1600 | 25.8133         | 0.4012   | 0.3853 |
+| 11.3074       | 29.31 | 1700 | 25.8673         | 0.3959   | 0.3838 |
+
+
+### 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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