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youssefbelghmi
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MNLP_M3_mcqa_model_true

Text Classification
Transformers
Safetensors
English
qwen3
text-generation
mcqa
multiple-choice
qwen
supervised-fine-tuning
mnlp
epfl
stem
text-generation-inference
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@@ -80,17 +80,17 @@ The following hyperparameters were used during training:
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  | Epoch | Training Loss | Validation Loss |
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  |--------:|----------------:|------------------:|
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  | 0.08 | 0.3461 | 0.2748 |
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- | 0.15 | 0.2938 | 0.2661 |
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- | 0.23 | 0.2881 | 0.26 |
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- | 0.31 | 0.2741 | 0.2666 |
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  | 0.38 | 0.2684 | 0.257 |
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- | 0.46 | 0.2635 | 0.2539 |
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- | 0.54 | 0.2603 | 0.2457 |
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- | 0.61 | 0.2555 | 0.2441 |
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  | 0.69 | 0.2459 | 0.2414 |
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  | 0.77 | 0.2383 | 0.2353 |
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- | 0.84 | 0.2266 | 0.2338 |
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- | 0.92 | 0.2112 | 0.2337 |
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  | 0.99 | 0.211 | 0.2335 |
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  - **Final training loss:** 0.211
 
80
  | Epoch | Training Loss | Validation Loss |
81
  |--------:|----------------:|------------------:|
82
  | 0.08 | 0.3461 | 0.2748 |
83
+ | 0.15 | 0.2881 | 0.2666 |
84
+ | 0.23 | 0.2938 | 0.2661 |
85
+ | 0.31 | 0.2741 | 0.26 |
86
  | 0.38 | 0.2684 | 0.257 |
87
+ | 0.46 | 0.2603 | 0.2539 |
88
+ | 0.54 | 0.2635 | 0.2441 |
89
+ | 0.61 | 0.2555 | 0.2457 |
90
  | 0.69 | 0.2459 | 0.2414 |
91
  | 0.77 | 0.2383 | 0.2353 |
92
+ | 0.84 | 0.2266 | 0.2337 |
93
+ | 0.92 | 0.2112 | 0.2338 |
94
  | 0.99 | 0.211 | 0.2335 |
95
 
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  - **Final training loss:** 0.211