Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: gpad-v22-taskA-entropy-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. -->
+
+# gpad-v22-taskA-entropy-only
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0287
+- Accuracy: 0.9934
+- F1 Macro: 0.9933
+- F1 Weighted: 0.9934
+- Precision Macro: 0.9948
+- Recall Macro: 0.9917
+
+## 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: 12
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:------------:|
+| 0.0413        | 1.0   | 2736  | 0.0266          | 0.9929   | 0.9927   | 0.9929      | 0.9935          | 0.9918       |
+| 0.0206        | 2.0   | 5472  | 0.0258          | 0.9935   | 0.9933   | 0.9935      | 0.9946          | 0.9920       |
+| 0.0133        | 3.0   | 8208  | 0.0258          | 0.9939   | 0.9938   | 0.9939      | 0.9954          | 0.9922       |
+| 0.0095        | 4.0   | 10944 | 0.0287          | 0.9934   | 0.9933   | 0.9934      | 0.9948          | 0.9917       |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.3.0
+- Tokenizers 0.19.1

config.json

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+{
+  "architectures": [
+    "GPADModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 528481932

training_args.bin

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