Fine-tuned smolLM2-135M with LoRA on camel-ai/physics

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+tags:
+- generated_from_trainer
+model-index:
+- name: fine-tuned-smolLM2-135M-with-LoRA-on-camel-ai-physics
+  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-tuned-smolLM2-135M-with-LoRA-on-camel-ai-physics
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0047
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.0162        | 1.0   | 4000  | 1.0420          |
+| 1.0262        | 2.0   | 8000  | 1.0134          |
+| 1.0067        | 3.0   | 12000 | 1.0047          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

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+  "alpha_pattern": {},
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+  "base_model_name_or_path": "HuggingFaceTB/SmolLM2-135M",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
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+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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config.json

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+{
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+    "LlamaForCausalLM"
+  ],
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+  "torch_dtype": "bfloat16",
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+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+  "transformers_version": "4.46.2"
+}

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