Initial Commit

README.md

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+---
+license: mit
+base_model: haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only44
+  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-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only44
+
+This model is a fine-tuned version of [haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only](https://huggingface.co/haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0452
+- Accuracy: 0.4590
+- F1: 0.4571
+
+## 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: 44
+- 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  | 1.0902          | 0.4237   | 0.3991 |
+| No log        | 3.45  | 200  | 1.6849          | 0.4449   | 0.4221 |
+| No log        | 5.17  | 300  | 2.0491          | 0.4321   | 0.4048 |
+| No log        | 6.9   | 400  | 2.6699          | 0.4405   | 0.4278 |
+| 0.5568        | 8.62  | 500  | 2.9052          | 0.4515   | 0.4471 |
+| 0.5568        | 10.34 | 600  | 3.2156          | 0.4515   | 0.4466 |
+| 0.5568        | 12.07 | 700  | 3.0671          | 0.4502   | 0.4497 |
+| 0.5568        | 13.79 | 800  | 3.7902          | 0.4528   | 0.4501 |
+| 0.5568        | 15.52 | 900  | 4.0797          | 0.4577   | 0.4561 |
+| 0.0772        | 17.24 | 1000 | 4.3812          | 0.4577   | 0.4508 |
+| 0.0772        | 18.97 | 1100 | 4.6449          | 0.4555   | 0.4463 |
+| 0.0772        | 20.69 | 1200 | 4.7051          | 0.4440   | 0.4327 |
+| 0.0772        | 22.41 | 1300 | 4.9485          | 0.4458   | 0.4363 |
+| 0.0772        | 24.14 | 1400 | 4.9522          | 0.4528   | 0.4471 |
+| 0.0147        | 25.86 | 1500 | 4.9600          | 0.4572   | 0.4564 |
+| 0.0147        | 27.59 | 1600 | 5.0399          | 0.4533   | 0.4503 |
+| 0.0147        | 29.31 | 1700 | 5.0452          | 0.4590   | 0.4571 |
+
+
+### 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": "haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only",
+  "architectures": [
+    "DebertaForSequenceClassificationKD"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 0,
+  "vocab_size": 251000
+}

pytorch_model.bin

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training_args.bin

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