End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: rlcc-palate-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-palate-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: 1.9359
+- Accuracy: 0.8
+- F1 Macro: 0.5653
+- Precision Macro: 0.5691
+- Recall Macro: 0.6086
+- Total Tf: [328, 82, 1148, 82]
+
+## 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: 36
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf            |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:-------------------:|
+| 1.1087        | 1.0   | 37   | 1.0814          | 0.8      | 0.4854   | 0.4886          | 0.4866       | [328, 82, 1148, 82] |
+| 1.0809        | 2.0   | 74   | 1.0422          | 0.8366   | 0.4819   | 0.4582          | 0.5129       | [343, 67, 1163, 67] |
+| 0.9443        | 3.0   | 111  | 1.0914          | 0.8195   | 0.5403   | 0.5491          | 0.5776       | [336, 74, 1156, 74] |
+| 0.7914        | 4.0   | 148  | 1.1077          | 0.8171   | 0.5736   | 0.5725          | 0.6223       | [335, 75, 1155, 75] |
+| 0.68          | 5.0   | 185  | 1.2576          | 0.7585   | 0.4613   | 0.4035          | 0.6144       | [311, 99, 1131, 99] |
+| 0.5892        | 6.0   | 222  | 1.2538          | 0.8049   | 0.5494   | 0.5447          | 0.5680       | [330, 80, 1150, 80] |
+| 0.564         | 7.0   | 259  | 1.2608          | 0.8098   | 0.5699   | 0.5680          | 0.5977       | [332, 78, 1152, 78] |
+| 0.5395        | 8.0   | 296  | 1.3882          | 0.7585   | 0.4659   | 0.4086          | 0.6166       | [311, 99, 1131, 99] |
+| 0.5745        | 9.0   | 333  | 1.2718          | 0.8098   | 0.5878   | 0.5968          | 0.6340       | [332, 78, 1152, 78] |
+| 0.5492        | 10.0  | 370  | 1.3772          | 0.8122   | 0.5641   | 0.5579          | 0.5838       | [333, 77, 1153, 77] |
+| 0.4613        | 11.0  | 407  | 1.5313          | 0.8293   | 0.5471   | 0.5552          | 0.5915       | [340, 70, 1160, 70] |
+| 0.5209        | 12.0  | 444  | 1.5491          | 0.8244   | 0.5125   | 0.4843          | 0.5547       | [338, 72, 1158, 72] |
+| 0.4865        | 13.0  | 481  | 1.6926          | 0.8073   | 0.5809   | 0.5987          | 0.6386       | [331, 79, 1151, 79] |
+| 0.4758        | 14.0  | 518  | 1.6802          | 0.8195   | 0.6041   | 0.6071          | 0.6511       | [336, 74, 1156, 74] |
+| 0.3792        | 15.0  | 555  | 1.7840          | 0.8098   | 0.5873   | 0.6012          | 0.6491       | [332, 78, 1152, 78] |
+| 0.3555        | 16.0  | 592  | 1.8224          | 0.8122   | 0.5915   | 0.5943          | 0.6423       | [333, 77, 1153, 77] |
+| 0.2957        | 17.0  | 629  | 1.8715          | 0.8098   | 0.5790   | 0.5777          | 0.6106       | [332, 78, 1152, 78] |
+| 0.2693        | 18.0  | 666  | 1.9544          | 0.8      | 0.5683   | 0.5704          | 0.6157       | [328, 82, 1148, 82] |
+| 0.248         | 19.0  | 703  | 1.9359          | 0.8      | 0.5653   | 0.5691          | 0.6086       | [328, 82, 1148, 82] |
+
+
+### 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": "max",
+  "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 875933980

training_args.bin

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+size 5368