satisfaction_model

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: satisfaction_model
+  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. -->
+
+# satisfaction_model
+
+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: 0.7983
+- Accuracy: 0.82
+
+## 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: 0.00046878097862004293
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "activation_function": "Mish",
+  "architectures": [
+    "SatisfactionModel"
+  ],
+  "hidden_size": 884,
+  "loss_label_smoothing": 0.2,
+  "model_type": "satisfaction_model",
+  "num_classes": 3,
+  "num_layers": 4,
+  "original_model_name": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_bias": true,
+  "use_weighted_loss": false
+}

model.safetensors

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+size 1134765860

training_args.bin

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