hajili/mdeberta-v3-base-azsci-topics

.gitattributes

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README.md

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+---
+license: mit
+base_model: microsoft/mdeberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: mdeberta-v3-base-azsci-topics
+  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. -->
+
+# mdeberta-v3-base-azsci-topics
+
+This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5213
+- Precision: 0.8633
+- Recall: 0.8759
+- F1: 0.8685
+- Accuracy: 0.8759
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 288  | 0.9919          | 0.6713    | 0.7465 | 0.6959 | 0.7465   |
+| 1.4813        | 2.0   | 576  | 0.7035          | 0.7994    | 0.8238 | 0.8022 | 0.8238   |
+| 1.4813        | 3.0   | 864  | 0.5605          | 0.8540    | 0.8568 | 0.8462 | 0.8568   |
+| 0.5512        | 4.0   | 1152 | 0.5296          | 0.8615    | 0.8689 | 0.8623 | 0.8689   |
+| 0.5512        | 5.0   | 1440 | 0.5213          | 0.8633    | 0.8759 | 0.8685 | 0.8759   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

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config.json

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+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
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+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
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+    "20": "LABEL_20",
+    "21": "LABEL_21",
+    "22": "LABEL_22"
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+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
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+  "pooler_dropout": 0,
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+  "torch_dtype": "float32",
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+  "vocab_size": 251000
+}

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