Model save

README.md

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+---
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: llama32l32
+  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. -->
+
+# llama32l32
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

llama23-1b-lora32-is/adapter_config.json

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+{
+  "config": {
+    "alpha": 64,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.1,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 32,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "6b97e74b95889514",
+  "hidden_size": 2048,
+  "model_class": "LlamaForCausalLM",
+  "model_name": "meta-llama/Llama-3.2-1B-Instruct",
+  "model_type": "llama",
+  "name": "llama23-1b-lora32-is",
+  "version": "adapters.1.0.0"
+}

llama23-1b-lora32-is/head_config.json

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+{
+  "config": null,
+  "hidden_size": 2048,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "model_class": "LlamaForCausalLM",
+  "model_name": "meta-llama/Llama-3.2-1B-Instruct",
+  "model_type": "llama",
+  "name": null,
+  "num_labels": 2,
+  "version": "adapters.1.0.0"
+}

llama23-1b-lora32-is/pytorch_adapter.bin

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llama23-1b-lora32-is/pytorch_model_head.bin

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