End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+model-index:
+- name: lora
+  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. -->
+
+# lora
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+- label_smoothing_factor: 0.1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "ResNetForImageClassification",
+    "parent_library": "transformers.models.resnet.modeling_resnet"
+  },
+  "base_model_name_or_path": "microsoft/resnet-50",
+  "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": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "stages.2.layers.4.layer.0.convolution",
+    "stages.2.layers.3.layer.1.convolution",
+    "stages.3.layers.1.layer.0.convolution",
+    "stages.2.layers.5.layer.2.convolution",
+    "stages.3.layers.2.layer.2.convolution",
+    "stages.2.layers.4.layer.2.convolution",
+    "stages.3.layers.1.layer.2.convolution",
+    "stages.3.layers.0.layer.2.convolution",
+    "stages.2.layers.4.layer.1.convolution",
+    "stages.2.layers.3.layer.0.convolution",
+    "stages.2.layers.3.layer.2.convolution",
+    "stages.2.layers.1.layer.2.convolution",
+    "stages.3.layers.2.layer.0.convolution",
+    "stages.3.layers.2.layer.1.convolution",
+    "stages.3.layers.0.layer.0.convolution",
+    "stages.2.layers.1.layer.0.convolution",
+    "stages.2.layers.5.layer.0.convolution",
+    "stages.2.layers.5.layer.1.convolution",
+    "stages.2.layers.1.layer.1.convolution",
+    "stages.2.layers.2.layer.1.convolution",
+    "stages.3.layers.1.layer.1.convolution",
+    "stages.3.layers.0.layer.1.convolution",
+    "stages.2.layers.2.layer.0.convolution",
+    "stages.2.layers.2.layer.2.convolution"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:48c81800dc6c20e36e383b5572e233c7f459e63263dd98b35b2a75e5e63c6fa3
+size 7101992

training_args.bin

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