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-en-cardiff_eng_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-en-cardiff_eng_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: 3.5981
+- Accuracy: 0.5798
+- F1: 0.5830
+
+## 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        | 1.03  | 60   | 1.0880          | 0.5295   | 0.5251 |
+| No log        | 2.07  | 120  | 1.0869          | 0.5617   | 0.5392 |
+| No log        | 3.1   | 180  | 1.1333          | 0.5789   | 0.5818 |
+| No log        | 4.14  | 240  | 1.2897          | 0.5728   | 0.5743 |
+| No log        | 5.17  | 300  | 1.4495          | 0.5899   | 0.5944 |
+| No log        | 6.21  | 360  | 1.9107          | 0.5573   | 0.5582 |
+| No log        | 7.24  | 420  | 1.8983          | 0.5851   | 0.5883 |
+| No log        | 8.28  | 480  | 2.1481          | 0.5816   | 0.5838 |
+| 0.4492        | 9.31  | 540  | 2.1906          | 0.5697   | 0.5681 |
+| 0.4492        | 10.34 | 600  | 2.4558          | 0.5692   | 0.5658 |
+| 0.4492        | 11.38 | 660  | 2.2698          | 0.5891   | 0.5917 |
+| 0.4492        | 12.41 | 720  | 2.6192          | 0.5816   | 0.5832 |
+| 0.4492        | 13.45 | 780  | 2.8040          | 0.5825   | 0.5866 |
+| 0.4492        | 14.48 | 840  | 3.0573          | 0.5754   | 0.5790 |
+| 0.4492        | 15.52 | 900  | 2.8448          | 0.5847   | 0.5872 |
+| 0.4492        | 16.55 | 960  | 3.2238          | 0.5829   | 0.5874 |
+| 0.0555        | 17.59 | 1020 | 3.2796          | 0.5811   | 0.5852 |
+| 0.0555        | 18.62 | 1080 | 3.2371          | 0.5869   | 0.5878 |
+| 0.0555        | 19.66 | 1140 | 3.4683          | 0.5802   | 0.5831 |
+| 0.0555        | 20.69 | 1200 | 3.4679          | 0.5772   | 0.5793 |
+| 0.0555        | 21.72 | 1260 | 3.4337          | 0.5877   | 0.5912 |
+| 0.0555        | 22.76 | 1320 | 3.5059          | 0.5763   | 0.5792 |
+| 0.0555        | 23.79 | 1380 | 3.6144          | 0.5807   | 0.5851 |
+| 0.0555        | 24.83 | 1440 | 3.5076          | 0.5847   | 0.5874 |
+| 0.0086        | 25.86 | 1500 | 3.5835          | 0.5842   | 0.5878 |
+| 0.0086        | 26.9  | 1560 | 3.5517          | 0.5847   | 0.5872 |
+| 0.0086        | 27.93 | 1620 | 3.6182          | 0.5825   | 0.5855 |
+| 0.0086        | 28.97 | 1680 | 3.5885          | 0.5816   | 0.5847 |
+| 0.0086        | 30.0  | 1740 | 3.5981          | 0.5798   | 0.5830 |
+
+
+### 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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