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-max
+  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-max
+
+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: 2.6950
+- Accuracy: 0.6340
+- F1 Macro: 0.5522
+- Precision Macro: 0.6107
+- Recall Macro: 0.5627
+- Total Tf: [265, 153, 1101, 153]
+
+## 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              |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:---------------------:|
+| 1.1211        | 1.0   | 45   | 1.1177          | 0.5359   | 0.3656   | 0.3252          | 0.5          | [224, 194, 1060, 194] |
+| 1.1137        | 2.0   | 90   | 1.1100          | 0.5335   | 0.3706   | 0.3610          | 0.4970       | [223, 195, 1059, 195] |
+| 0.9748        | 3.0   | 135  | 1.1131          | 0.6220   | 0.5222   | 0.5541          | 0.5492       | [260, 158, 1096, 158] |
+| 0.7356        | 4.0   | 180  | 1.2100          | 0.6005   | 0.5350   | 0.5590          | 0.5661       | [251, 167, 1087, 167] |
+| 0.6668        | 5.0   | 225  | 1.2673          | 0.6124   | 0.5507   | 0.5629          | 0.5569       | [256, 162, 1092, 162] |
+| 0.4741        | 6.0   | 270  | 1.4287          | 0.6077   | 0.5256   | 0.5559          | 0.5372       | [254, 164, 1090, 164] |
+| 0.43          | 7.0   | 315  | 1.5078          | 0.6172   | 0.5497   | 0.5736          | 0.5523       | [258, 160, 1094, 160] |
+| 0.3213        | 8.0   | 360  | 1.6583          | 0.6364   | 0.5492   | 0.6162          | 0.5612       | [266, 152, 1102, 152] |
+| 0.2496        | 9.0   | 405  | 1.6353          | 0.6364   | 0.5850   | 0.5959          | 0.5862       | [266, 152, 1102, 152] |
+| 0.1908        | 10.0  | 450  | 1.8595          | 0.6364   | 0.5635   | 0.6157          | 0.5688       | [266, 152, 1102, 152] |
+| 0.1383        | 11.0  | 495  | 2.0273          | 0.6292   | 0.5662   | 0.5924          | 0.5734       | [263, 155, 1099, 155] |
+| 0.1125        | 12.0  | 540  | 2.0201          | 0.6555   | 0.6054   | 0.6258          | 0.6020       | [274, 144, 1110, 144] |
+| 0.1046        | 13.0  | 585  | 2.3728          | 0.6411   | 0.5737   | 0.6257          | 0.5854       | [268, 150, 1104, 150] |
+| 0.0897        | 14.0  | 630  | 2.4554          | 0.6459   | 0.5712   | 0.6292          | 0.5861       | [270, 148, 1106, 148] |
+| 0.0518        | 15.0  | 675  | 2.2957          | 0.6531   | 0.5947   | 0.6288          | 0.5921       | [273, 145, 1109, 145] |
+| 0.0587        | 16.0  | 720  | 2.4788          | 0.6411   | 0.5814   | 0.6075          | 0.5801       | [268, 150, 1104, 150] |
+| 0.0445        | 17.0  | 765  | 2.6950          | 0.6340   | 0.5522   | 0.6107          | 0.5627       | [265, 153, 1101, 153] |
+
+
+### 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": "max",
+  "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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+size 875933728

training_args.bin

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