End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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---
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license: apache-2.0
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base_model: gayanin/bart-noised-with-gcd-dist
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-noised-with-gcd-babylon-dist
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-noised-with-gcd-babylon-dist
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This model is a fine-tuned version of [gayanin/bart-noised-with-gcd-dist](https://huggingface.co/gayanin/bart-noised-with-gcd-dist) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2281
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2582 | 0.11 | 500 | 0.2439 |
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| 0.2496 | 0.21 | 1000 | 0.2384 |
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| 0.2469 | 0.32 | 1500 | 0.2428 |
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| 0.2786 | 0.43 | 2000 | 0.2409 |
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| 0.195 | 0.54 | 2500 | 0.2409 |
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| 0.2615 | 0.64 | 3000 | 0.2352 |
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| 0.2593 | 0.75 | 3500 | 0.2359 |
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| 0.2472 | 0.86 | 4000 | 0.2340 |
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| 0.2762 | 0.96 | 4500 | 0.2285 |
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| 0.181 | 1.07 | 5000 | 0.2374 |
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| 0.1963 | 1.18 | 5500 | 0.2345 |
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| 0.1848 | 1.28 | 6000 | 0.2378 |
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| 0.181 | 1.39 | 6500 | 0.2343 |
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| 0.2063 | 1.5 | 7000 | 0.2299 |
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| 0.1774 | 1.61 | 7500 | 0.2302 |
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| 0.2058 | 1.71 | 8000 | 0.2267 |
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| 0.2256 | 1.82 | 8500 | 0.2262 |
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| 0.1661 | 1.93 | 9000 | 0.2265 |
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| 0.1475 | 2.03 | 9500 | 0.2327 |
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| 0.1229 | 2.14 | 10000 | 0.2338 |
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| 0.1484 | 2.25 | 10500 | 0.2326 |
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| 0.1679 | 2.35 | 11000 | 0.2326 |
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| 0.1278 | 2.46 | 11500 | 0.2312 |
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| 0.143 | 2.57 | 12000 | 0.2291 |
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| 0.1331 | 2.68 | 12500 | 0.2284 |
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| 0.1504 | 2.78 | 13000 | 0.2289 |
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| 0.1308 | 2.89 | 13500 | 0.2293 |
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| 0.1657 | 3.0 | 14000 | 0.2281 |
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### Framework versions
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model.safetensors
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