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-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-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: 4.9878
+- Accuracy: 0.5278
+- F1: 0.5292
+
+## 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: 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  | 1.1991          | 0.5154   | 0.5166 |
+| 0.731         | 2.17  | 500  | 1.5346          | 0.5316   | 0.5279 |
+| 0.731         | 3.26  | 750  | 1.6658          | 0.5255   | 0.5251 |
+| 0.3491        | 4.35  | 1000 | 1.9635          | 0.5185   | 0.5189 |
+| 0.3491        | 5.43  | 1250 | 2.1732          | 0.5231   | 0.5221 |
+| 0.1838        | 6.52  | 1500 | 3.0035          | 0.5239   | 0.5256 |
+| 0.1838        | 7.61  | 1750 | 2.9315          | 0.5239   | 0.5258 |
+| 0.122         | 8.7   | 2000 | 2.8799          | 0.5039   | 0.5009 |
+| 0.122         | 9.78  | 2250 | 3.0551          | 0.5023   | 0.5037 |
+| 0.0746        | 10.87 | 2500 | 3.2668          | 0.5262   | 0.5279 |
+| 0.0746        | 11.96 | 2750 | 3.3828          | 0.5046   | 0.5062 |
+| 0.0434        | 13.04 | 3000 | 3.8937          | 0.4954   | 0.4929 |
+| 0.0434        | 14.13 | 3250 | 3.7629          | 0.5224   | 0.5235 |
+| 0.0369        | 15.22 | 3500 | 4.1508          | 0.4931   | 0.4880 |
+| 0.0369        | 16.3  | 3750 | 4.2268          | 0.5239   | 0.5240 |
+| 0.0186        | 17.39 | 4000 | 4.3692          | 0.5054   | 0.5057 |
+| 0.0186        | 18.48 | 4250 | 4.3635          | 0.5108   | 0.5108 |
+| 0.0156        | 19.57 | 4500 | 4.4833          | 0.5062   | 0.5039 |
+| 0.0156        | 20.65 | 4750 | 4.5300          | 0.5039   | 0.5043 |
+| 0.0093        | 21.74 | 5000 | 4.5612          | 0.5239   | 0.5236 |
+| 0.0093        | 22.83 | 5250 | 4.7381          | 0.5208   | 0.5216 |
+| 0.0088        | 23.91 | 5500 | 4.6106          | 0.5324   | 0.5334 |
+| 0.0088        | 25.0  | 5750 | 4.8040          | 0.5255   | 0.5269 |
+| 0.0039        | 26.09 | 6000 | 4.8616          | 0.5262   | 0.5283 |
+| 0.0039        | 27.17 | 6250 | 4.9228          | 0.5231   | 0.5247 |
+| 0.0052        | 28.26 | 6500 | 5.1665          | 0.5008   | 0.5012 |
+| 0.0052        | 29.35 | 6750 | 4.9878          | 0.5278   | 0.5292 |
+
+
+### 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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