End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mdeberta-v3-base-subjectivity-sentiment-arabic
+  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-subjectivity-sentiment-arabic
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7442
+- Macro F1: 0.5426
+- Macro P: 0.5472
+- Macro R: 0.5442
+- Subj F1: 0.4457
+- Subj P: 0.4910
+- Subj R: 0.4080
+- Accuracy: 0.5632
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro P | Macro R | Subj F1 | Subj P | Subj R | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:-------:|:-------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 153  | 0.6885          | 0.5224   | 0.5299  | 0.5268  | 0.4068  | 0.4706 | 0.3582 | 0.5503   |
+| No log        | 2.0   | 306  | 0.6932          | 0.5204   | 0.5602  | 0.5416  | 0.3510  | 0.5248 | 0.2637 | 0.5803   |
+| No log        | 3.0   | 459  | 0.6928          | 0.5480   | 0.5748  | 0.5589  | 0.4087  | 0.5410 | 0.3284 | 0.5910   |
+| 0.6721        | 4.0   | 612  | 0.7125          | 0.5485   | 0.5492  | 0.5500  | 0.5059  | 0.4820 | 0.5323 | 0.5525   |
+| 0.6721        | 5.0   | 765  | 0.7238          | 0.5220   | 0.5667  | 0.5448  | 0.3490  | 0.5361 | 0.2587 | 0.5846   |
+| 0.6721        | 6.0   | 918  | 0.7442          | 0.5426   | 0.5472  | 0.5442  | 0.4457  | 0.4910 | 0.4080 | 0.5632   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0

config.json

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+{
+  "architectures": [
+    "CustomModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "OBJ",
+    "1": "SUBJ"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "OBJ": 0,
+    "SUBJ": 1
+  },
+  "layer_norm_eps": 1e-07,
+  "legacy": true,
+  "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": "4.49.0",
+  "type_vocab_size": 0,
+  "vocab_size": 251000
+}

model.safetensors

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+size 1115268224

training_args.bin

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