mdeputy/eval-paths

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: output
+  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. -->
+
+# output
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5574
+- Accuracy: 0.9944
+- F1: 0.9917
+- Iou: 0.9889
+
+## 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: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Iou    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
+| No log        | 1.0   | 1    | 0.5574          | 0.9944   | 0.9917 | 0.9889 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "architectures": [
+    "UNETForSegmentation"
+  ],
+  "attention_type": "sdpa",
+  "dim": 224,
+  "dual_obj": false,
+  "hidden_act": "silu",
+  "hidden_size": 64,
+  "img_size": 1024,
+  "intermediate_size": 1024,
+  "is_causal": false,
+  "k": 2,
+  "max_position_embeddings": 4096,
+  "model_type": "Unet",
+  "moe": false,
+  "n_filts": 2,
+  "num_attention_heads": 8,
+  "num_channels": 3,
+  "num_classes": 2,
+  "num_experts": 8,
+  "num_hidden_layers": 6,
+  "num_layers": 2,
+  "output_router_logits": true,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "router_aux_loss_coef": 0.01,
+  "t": 2,
+  "topk": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2"
+}

model.safetensors

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+oid sha256:7a4544a450b7e317d18a0edf6846f399f06da37a76110ee584b7046f1b9ec813
+size 561992

training_args.bin

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