End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: rlcc-aroma-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-aroma-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: 2.2234
+- Accuracy: 0.7634
+- F1 Macro: 0.6921
+- Precision Macro: 0.6916
+- Recall Macro: 0.6932
+- Total Tf: [313, 97, 1133, 97]
+
+## 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 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: 51
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf              |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:---------------------:|
+| 1.1142        | 1.0   | 52   | 1.0920          | 0.6220   | 0.4931   | 0.4924          | 0.4979       | [255, 155, 1075, 155] |
+| 0.9901        | 2.0   | 104  | 1.1432          | 0.6634   | 0.5654   | 0.5637          | 0.5704       | [272, 138, 1092, 138] |
+| 0.7632        | 3.0   | 156  | 1.0810          | 0.7049   | 0.6224   | 0.6336          | 0.6433       | [289, 121, 1109, 121] |
+| 0.5227        | 4.0   | 208  | 1.1417          | 0.7439   | 0.6678   | 0.6699          | 0.6845       | [305, 105, 1125, 105] |
+| 0.3542        | 5.0   | 260  | 1.1937          | 0.7463   | 0.6687   | 0.6683          | 0.6747       | [306, 104, 1126, 104] |
+| 0.2719        | 6.0   | 312  | 1.4854          | 0.7146   | 0.6309   | 0.6367          | 0.6601       | [293, 117, 1113, 117] |
+| 0.1594        | 7.0   | 364  | 1.4395          | 0.7463   | 0.6703   | 0.6703          | 0.6764       | [306, 104, 1126, 104] |
+| 0.1511        | 8.0   | 416  | 1.6307          | 0.7390   | 0.6641   | 0.6625          | 0.6820       | [303, 107, 1123, 107] |
+| 0.1036        | 9.0   | 468  | 1.6144          | 0.7683   | 0.6932   | 0.6974          | 0.6915       | [315, 95, 1135, 95]   |
+| 0.1029        | 10.0  | 520  | 1.7708          | 0.7683   | 0.6992   | 0.6976          | 0.7064       | [315, 95, 1135, 95]   |
+| 0.0859        | 11.0  | 572  | 2.0319          | 0.7439   | 0.6678   | 0.6756          | 0.6932       | [305, 105, 1125, 105] |
+| 0.062         | 12.0  | 624  | 1.8619          | 0.7634   | 0.6901   | 0.6926          | 0.6887       | [313, 97, 1133, 97]   |
+| 0.0489        | 13.0  | 676  | 2.0523          | 0.7610   | 0.6878   | 0.6874          | 0.6892       | [312, 98, 1132, 98]   |
+| 0.0409        | 14.0  | 728  | 2.2591          | 0.7439   | 0.6664   | 0.6645          | 0.6741       | [305, 105, 1125, 105] |
+| 0.0226        | 15.0  | 780  | 2.2234          | 0.7634   | 0.6921   | 0.6916          | 0.6932       | [313, 97, 1133, 97]   |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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": "4.47.0"
+}

model.safetensors

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+size 437963716

training_args.bin

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