Add Hiranmai49__Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b

Hiranmai49__Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b/.gitattributes

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Hiranmai49__Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b/README.md

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+---
+base_model: meta-llama/Llama-3.1-8B-Instruct
+library_name: peft
+license: llama3.1
+tags:
+- generated_from_trainer
+model-index:
+- name: Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b
+  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. -->
+
+# Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.4096
+
+## 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: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use paged_adamw_8bit 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: 5
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 6.4708        | 0.6887 | 500  | 6.4666          |
+| 6.4187        | 1.3774 | 1000 | 6.4331          |
+| 6.3747        | 2.0661 | 1500 | 6.4159          |
+| 6.3408        | 2.7548 | 2000 | 6.4096          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

Hiranmai49__Llama-3.1-8B-Instruct-JudicialSummarization-FinetuneLlama3.18b/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-3.1-8B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "lm_head",
+    "k_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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