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Add model card

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  1. README.md +9 -9
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@@ -1,14 +1,14 @@
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  ---
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  base_model: LiquidAI/LFM2.5-VL-450M
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  datasets:
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- - munish0838/crop-burn-detection-labeled
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  tags:
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- - satellite
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- - remote-sensing
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- - sentinel-2
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- - stubble-burning
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- - fine-tuned
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- - vision-language-model
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  license: cc-by-4.0
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  ---
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@@ -66,7 +66,7 @@ print(processor.batch_decode(out, skip_special_tokens=True)[0])
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  | Base model | LiquidAI/LFM2.5-VL-450M |
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  | Training data | munish0838/crop-burn-detection-labeled |
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  | Train samples | 1,098 |
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- | Epochs | 3 |
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- | Learning rate | 2e-05 |
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  | LoRA rank | 16 |
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  | Effective batch | 16 |
 
1
  ---
2
  base_model: LiquidAI/LFM2.5-VL-450M
3
  datasets:
4
+ - munish0838/crop-burn-detection-labeled
5
  tags:
6
+ - satellite
7
+ - remote-sensing
8
+ - sentinel-2
9
+ - stubble-burning
10
+ - fine-tuned
11
+ - vision-language-model
12
  license: cc-by-4.0
13
  ---
14
 
 
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  | Base model | LiquidAI/LFM2.5-VL-450M |
67
  | Training data | munish0838/crop-burn-detection-labeled |
68
  | Train samples | 1,098 |
69
+ | Epochs | 5 |
70
+ | Learning rate | 0.0001 |
71
  | LoRA rank | 16 |
72
  | Effective batch | 16 |