End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: prosody_gtsc_phi-3-mini
+  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. -->
+
+# prosody_gtsc_phi-3-mini
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+
+## 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: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

added_tokens.json

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config.json

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+  "architectures": [
+    "CrossAttentionSentenceClassifier"
+  ],
+  "cross_layers": 3,
+  "dropout": 0.3,
+  "embedding_strategy": "self-att",
+  "fp16": false,
+  "heads": 8,
+  "hidden_size": 768,
+  "k_backbone": "transformer-prosody-encoder192",
+  "k_freezed": false,
+  "k_kwargs": {
+    "dropout": 0.3,
+    "heads": 8,
+    "input_size": 5,
+    "num_layers": 2
+  },
+  "labels": 18,
+  "model_type": "cross-attention-sentence-classifier",
+  "multilabel": true,
+  "q_backbone": "Phi-3-mini-4k-instruct",
+  "q_freezed": true,
+  "q_kwargs": {},
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1"
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}

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