Initial Commit

README.md

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+---
+license: mit
+base_model: microsoft/mdeberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-MDBT-TCR_data-cl-cardiff_cl_only
+  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-MDBT-TCR_data-cl-cardiff_cl_only
+
+This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0325
+- Accuracy: 0.5177
+- F1: 0.5177
+
+## 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: 64
+- seed: 66
+- 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  | 1.2368          | 0.5139   | 0.5065 |
+| 0.7153        | 2.17  | 500  | 1.6085          | 0.5162   | 0.5159 |
+| 0.7153        | 3.26  | 750  | 1.7398          | 0.5123   | 0.5119 |
+| 0.3337        | 4.35  | 1000 | 2.1884          | 0.4931   | 0.4900 |
+| 0.3337        | 5.43  | 1250 | 2.5671          | 0.5324   | 0.5325 |
+| 0.1697        | 6.52  | 1500 | 2.7392          | 0.5216   | 0.5104 |
+| 0.1697        | 7.61  | 1750 | 2.3740          | 0.5054   | 0.5054 |
+| 0.1105        | 8.7   | 2000 | 3.1334          | 0.5108   | 0.5071 |
+| 0.1105        | 9.78  | 2250 | 3.1748          | 0.5262   | 0.5275 |
+| 0.0727        | 10.87 | 2500 | 3.8017          | 0.5162   | 0.5104 |
+| 0.0727        | 11.96 | 2750 | 3.9002          | 0.4969   | 0.4934 |
+| 0.0494        | 13.04 | 3000 | 3.3222          | 0.5363   | 0.5383 |
+| 0.0494        | 14.13 | 3250 | 3.8319          | 0.5231   | 0.5245 |
+| 0.032         | 15.22 | 3500 | 4.0484          | 0.5239   | 0.5246 |
+| 0.032         | 16.3  | 3750 | 4.2498          | 0.5170   | 0.5181 |
+| 0.0204        | 17.39 | 4000 | 4.2426          | 0.5108   | 0.5121 |
+| 0.0204        | 18.48 | 4250 | 4.6214          | 0.5093   | 0.5071 |
+| 0.0111        | 19.57 | 4500 | 4.6396          | 0.5185   | 0.5160 |
+| 0.0111        | 20.65 | 4750 | 4.5908          | 0.5270   | 0.5266 |
+| 0.007         | 21.74 | 5000 | 4.9185          | 0.5201   | 0.5188 |
+| 0.007         | 22.83 | 5250 | 5.1551          | 0.5154   | 0.5140 |
+| 0.0069        | 23.91 | 5500 | 4.9583          | 0.5239   | 0.5248 |
+| 0.0069        | 25.0  | 5750 | 4.9928          | 0.5116   | 0.5093 |
+| 0.006         | 26.09 | 6000 | 4.7920          | 0.5255   | 0.5239 |
+| 0.006         | 27.17 | 6250 | 4.9030          | 0.5185   | 0.5195 |
+| 0.0031        | 28.26 | 6500 | 4.9916          | 0.5170   | 0.5176 |
+| 0.0031        | 29.35 | 6750 | 5.0325          | 0.5177   | 0.5177 |
+
+
+### 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": "microsoft/mdeberta-v3-base",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "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": 12,
+  "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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