Surabhi-K1/code_llama_11epochs_lib

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-hf
+model-index:
+- name: fine-tuning-code_llama_lib_4
+  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. -->
+
+# fine-tuning-code_llama_lib_4
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1215
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 15
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 60
+- num_epochs: 11
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7737        | 1.0   | 63   | 0.6034          |
+| 0.4194        | 2.0   | 126  | 0.3423          |
+| 0.2123        | 3.0   | 189  | 0.2168          |
+| 0.1542        | 4.0   | 252  | 0.1721          |
+| 0.1343        | 5.0   | 315  | 0.1508          |
+| 0.1224        | 6.0   | 378  | 0.1395          |
+| 0.1141        | 7.0   | 441  | 0.1321          |
+| 0.1075        | 8.0   | 504  | 0.1273          |
+| 0.1028        | 9.0   | 567  | 0.1243          |
+| 0.0993        | 10.0  | 630  | 0.1220          |
+| 0.0973        | 11.0  | 693  | 0.1215          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc2",
+    "q_proj",
+    "v_proj",
+    "dense",
+    "k_proj",
+    "fc1"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 50357464

training_args.bin

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