rkoh

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: knowledgator/gliclass-small-v1.0
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [knowledgator/gliclass-small-v1.0](https://huggingface.co/knowledgator/gliclass-small-v1.0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8851
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4488        | 1.0   | 20   | 1.1321          |
+| 1.2982        | 2.0   | 40   | 0.8911          |
+| 1.4023        | 3.0   | 60   | 0.8851          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "knowledgator/gliclass-small-v1.0",
+  "architecture_type": "uni-encoder",
+  "architectures": [
+    "GLiClassModel"
+  ],
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+  "contrastive_loss_coef": 0,
+  "embed_class_token": true,
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+      "1": "LABEL_1"
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+    "min_length": 0,
+    "model_type": "deberta-v2",
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+    "norm_rel_ebd": "layer_norm",
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+  "focal_loss_gamma": -1,
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+  "initializer_range": 0.03,
+  "logit_scale_init_value": 2.6592,
+  "max_num_classes": 25,
+  "model_type": "GLiClass",
+  "normalize_features": false,
+  "pooling_strategy": "first",
+  "projector_hidden_act": "gelu",
+  "prompt_first": false,
+  "scorer_type": "simple",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
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+}

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special_tokens_map.json

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tokenizer_config.json

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