Initial Commit

README.md

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+---
+library_name: transformers
+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_only55
+  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_only55
+
+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: 5.0027
+- Accuracy: 0.4656
+- F1: 0.4619
+
+## 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: 55
+- 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        | 1.7241  | 100  | 1.2748          | 0.4339   | 0.4142 |
+| No log        | 3.4483  | 200  | 1.3406          | 0.4660   | 0.4596 |
+| No log        | 5.1724  | 300  | 1.5563          | 0.4757   | 0.4694 |
+| No log        | 6.8966  | 400  | 2.0113          | 0.4683   | 0.4688 |
+| 0.5741        | 8.6207  | 500  | 2.4441          | 0.4700   | 0.4666 |
+| 0.5741        | 10.3448 | 600  | 2.6979          | 0.4656   | 0.4657 |
+| 0.5741        | 12.0690 | 700  | 3.3013          | 0.4630   | 0.4595 |
+| 0.5741        | 13.7931 | 800  | 3.6311          | 0.4652   | 0.4630 |
+| 0.5741        | 15.5172 | 900  | 4.2150          | 0.4537   | 0.4431 |
+| 0.0798        | 17.2414 | 1000 | 4.2688          | 0.4581   | 0.4507 |
+| 0.0798        | 18.9655 | 1100 | 4.4930          | 0.4630   | 0.4597 |
+| 0.0798        | 20.6897 | 1200 | 4.8125          | 0.4537   | 0.4398 |
+| 0.0798        | 22.4138 | 1300 | 4.7923          | 0.4674   | 0.4603 |
+| 0.0798        | 24.1379 | 1400 | 4.8840          | 0.4616   | 0.4594 |
+| 0.0132        | 25.8621 | 1500 | 5.0249          | 0.4612   | 0.4539 |
+| 0.0132        | 27.5862 | 1600 | 5.0564          | 0.4594   | 0.4534 |
+| 0.0132        | 29.3103 | 1700 | 5.0027          | 0.4656   | 0.4619 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.19.1

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": "4.44.2",
+  "type_vocab_size": 0,
+  "vocab_size": 251000
+}

model.safetensors

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training_args.bin

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