Omar280X commited on
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1 Parent(s): bedfdd5

Training in progress epoch 0

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  1. README.md +5 -7
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5448
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- - Validation Loss: 1.0024
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- - Epoch: 2
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  ## Model description
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@@ -43,14 +43,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.4843 | 0.9437 | 0 |
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- | 0.5116 | 0.8503 | 1 |
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- | 0.5448 | 1.0024 | 2 |
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  ### Framework versions
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- - Transformers 4.37.0
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  - TensorFlow 2.10.0
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  - Datasets 3.6.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4891
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+ - Validation Loss: 0.7011
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.4891 | 0.7011 | 0 |
 
 
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  ### Framework versions
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+ - Transformers 4.37.2
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  - TensorFlow 2.10.0
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  - Datasets 3.6.0
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  - Tokenizers 0.15.2
config.json CHANGED
@@ -74,5 +74,5 @@
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  2
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  ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.37.0"
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  }
 
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  2
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  ],
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  "torch_dtype": "float32",
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+ "transformers_version": "4.37.2"
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  }
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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