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Discussion-Phi-4-multimodal-instruct-audio-dimp-tag-beta2

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End of training

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  1. README.md +27 -27
  2. eval_after.json +6 -6
  3. model-00001-of-00003.safetensors +1 -1
  4. model-00002-of-00003.safetensors +1 -1
  5. model-00003-of-00003.safetensors +1 -1
  6. runs/May20_06-06-23_70e5a6d483fc/events.out.tfevents.1747721183.70e5a6d483fc.91308.0 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 31.8833
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  ## Model description
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@@ -50,32 +50,32 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 9.3759 | 0.1117 | 10 | 30.9808 |
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- | 0.5302 | 0.2235 | 20 | 31.7409 |
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- | 0.5676 | 0.3352 | 30 | 32.0615 |
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- | 0.7669 | 0.4469 | 40 | 31.1593 |
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- | 0.3628 | 0.5587 | 50 | 31.4877 |
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- | 0.5825 | 0.6704 | 60 | 31.6715 |
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- | 0.5776 | 0.7821 | 70 | 31.6513 |
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- | 0.4351 | 0.8939 | 80 | 32.0219 |
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- | 0.1408 | 1.0 | 90 | 32.1379 |
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- | 0.3197 | 1.1117 | 100 | 31.8398 |
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- | 0.6143 | 1.2235 | 110 | 31.7506 |
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- | 0.3841 | 1.3352 | 120 | 31.4519 |
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- | 0.1314 | 1.4469 | 130 | 31.3721 |
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- | 0.4481 | 1.5587 | 140 | 31.7931 |
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- | 0.1607 | 1.6704 | 150 | 31.8909 |
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- | 0.0752 | 1.7821 | 160 | 32.1410 |
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- | 0.2034 | 1.8939 | 170 | 32.2456 |
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- | 0.0681 | 2.0 | 180 | 32.0923 |
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- | 0.1068 | 2.1117 | 190 | 31.8132 |
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- | 0.0653 | 2.2235 | 200 | 32.1272 |
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- | 0.3927 | 2.3352 | 210 | 32.1526 |
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- | 0.1646 | 2.4469 | 220 | 32.2188 |
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- | 0.035 | 2.5587 | 230 | 32.0494 |
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- | 0.022 | 2.6704 | 240 | 31.9229 |
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- | 0.0286 | 2.7821 | 250 | 32.0691 |
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- | 0.1523 | 2.8939 | 260 | 31.8833 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 47.2708
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 14.0644 | 0.1117 | 10 | 46.4600 |
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+ | 0.806 | 0.2235 | 20 | 47.0485 |
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+ | 0.8452 | 0.3352 | 30 | 48.5161 |
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+ | 1.1108 | 0.4469 | 40 | 48.2024 |
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+ | 0.5848 | 0.5587 | 50 | 48.0342 |
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+ | 1.5352 | 0.6704 | 60 | 47.5009 |
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+ | 0.8749 | 0.7821 | 70 | 46.9722 |
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+ | 0.6388 | 0.8939 | 80 | 47.6718 |
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+ | 0.1562 | 1.0 | 90 | 47.8837 |
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+ | 0.5959 | 1.1117 | 100 | 47.5622 |
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+ | 1.1912 | 1.2235 | 110 | 47.6055 |
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+ | 0.4967 | 1.3352 | 120 | 47.7299 |
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+ | 0.204 | 1.4469 | 130 | 48.1439 |
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+ | 0.5732 | 1.5587 | 140 | 48.4459 |
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+ | 0.2537 | 1.6704 | 150 | 47.5499 |
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+ | 0.1044 | 1.7821 | 160 | 47.4731 |
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+ | 0.177 | 1.8939 | 170 | 47.1623 |
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+ | 0.131 | 2.0 | 180 | 47.0603 |
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+ | 0.144 | 2.1117 | 190 | 47.2259 |
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+ | 0.0884 | 2.2235 | 200 | 46.9473 |
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+ | 0.5288 | 2.3352 | 210 | 47.2556 |
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+ | 0.483 | 2.4469 | 220 | 47.6419 |
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+ | 0.0972 | 2.5587 | 230 | 47.6346 |
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+ | 0.0148 | 2.6704 | 240 | 47.5911 |
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+ | 0.0224 | 2.7821 | 250 | 47.2943 |
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+ | 0.2197 | 2.8939 | 260 | 47.2708 |
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  ### Framework versions
eval_after.json CHANGED
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