stackoverflow_tag_classification/initial_run/deberta-v3-base/bemused-trout-607

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+model-index:
+- name: bemused-trout-607
+  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. -->
+
+# bemused-trout-607
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1783
+- Hamming Loss: 0.0643
+- Zero One Loss: 0.4113
+- Jaccard Score: 0.3643
+- Hamming Loss Optimised: 0.0615
+- Hamming Loss Threshold: 0.7239
+- Zero One Loss Optimised: 0.4038
+- Zero One Loss Threshold: 0.4731
+- Jaccard Score Optimised: 0.3281
+- Jaccard Score Threshold: 0.2446
+
+## 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: 5.0943791435964314e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 2024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|
+| 0.2941        | 1.0   | 400  | 0.2355          | 0.0934       | 0.7987        | 0.7963        | 0.0929                 | 0.6046                 | 0.6738                  | 0.2934                  | 0.5524                  | 0.2658                  |
+| 0.2247        | 2.0   | 800  | 0.2132          | 0.0914       | 0.6188        | 0.5905        | 0.0906                 | 0.6229                 | 0.6262                  | 0.3893                  | 0.4890                  | 0.2889                  |
+| 0.187         | 3.0   | 1200 | 0.1854          | 0.066        | 0.4712        | 0.4224        | 0.0653                 | 0.7034                 | 0.4325                  | 0.4451                  | 0.3701                  | 0.4026                  |
+| 0.1495        | 4.0   | 1600 | 0.1783          | 0.0643       | 0.4113        | 0.3643        | 0.0615                 | 0.7239                 | 0.4038                  | 0.4731                  | 0.3281                  | 0.2446                  |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-base",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "pandas",
+    "1": "python-3.x",
+    "2": "string",
+    "3": "django",
+    "4": "dictionary",
+    "5": "python-2.7",
+    "6": "matplotlib",
+    "7": "list",
+    "8": "numpy",
+    "9": "regex"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "dictionary": 4,
+    "django": 3,
+    "list": 7,
+    "matplotlib": 6,
+    "numpy": 8,
+    "pandas": 0,
+    "python-2.7": 5,
+    "python-3.x": 1,
+    "regex": 9,
+    "string": 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,
+  "problem_type": "multi_label_classification",
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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training_args.bin

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