End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: rlcc-new-appearance-upsample_replacement-absa-None
+  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. -->
+
+# rlcc-new-appearance-upsample_replacement-absa-None
+
+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: 1.4775
+- Accuracy: 0.6746
+- F1 Macro: 0.6328
+- Precision Macro: 0.6442
+- Recall Macro: 0.6276
+- Total Tf: [282, 136, 1118, 136]
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 44
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf              |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:---------------------:|
+| 1.1054        | 1.0   | 45   | 1.0933          | 0.6196   | 0.5005   | 0.4640          | 0.5591       | [259, 159, 1095, 159] |
+| 1.093         | 2.0   | 90   | 1.0883          | 0.6053   | 0.5090   | 0.5564          | 0.5516       | [253, 165, 1089, 165] |
+| 1.0147        | 3.0   | 135  | 1.0815          | 0.6172   | 0.5454   | 0.5527          | 0.5576       | [258, 160, 1094, 160] |
+| 0.7902        | 4.0   | 180  | 1.0939          | 0.6053   | 0.5536   | 0.5529          | 0.5646       | [253, 165, 1089, 165] |
+| 0.6868        | 5.0   | 225  | 1.0402          | 0.6842   | 0.6423   | 0.6438          | 0.6412       | [286, 132, 1122, 132] |
+| 0.4888        | 6.0   | 270  | 1.1546          | 0.6699   | 0.6212   | 0.6414          | 0.6162       | [280, 138, 1116, 138] |
+| 0.3871        | 7.0   | 315  | 1.2866          | 0.6651   | 0.6153   | 0.6375          | 0.6102       | [278, 140, 1114, 140] |
+| 0.3217        | 8.0   | 360  | 1.3147          | 0.6746   | 0.6269   | 0.6606          | 0.6208       | [282, 136, 1118, 136] |
+| 0.2213        | 9.0   | 405  | 1.4559          | 0.6507   | 0.6073   | 0.6163          | 0.6028       | [272, 146, 1108, 146] |
+| 0.2051        | 10.0  | 450  | 1.4775          | 0.6746   | 0.6328   | 0.6442          | 0.6276       | [282, 136, 1118, 136] |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2

config.json

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+{
+  "absa_method": null,
+  "architectures": [
+    "BERTModel"
+  ],
+  "class_weight": null,
+  "class_weights": null,
+  "model_type": "bert_with_absa",
+  "num_classes": 3,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4"
+}

model.safetensors

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+oid sha256:f1cabeb6b44d856b64302ae47e3344460bf391900d2137e6bb4086d99c063dec
+size 437963716

training_args.bin

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+size 5368