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README.md
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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: bart-with-pubmed-noise-data-0.1-v2
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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-with-pubmed-noise-data-0.1-v2
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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-with-woz-noise-data-0.1-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-with-woz-pubmed-noise-data-0.1-v2
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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-with-woz-pubmed-noise-data-0.1-v2
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This model is a fine-tuned version of [gayanin/bart-with-woz-noise-data-0.1-v2](https://huggingface.co/gayanin/bart-with-woz-noise-data-0.1-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2136
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.395 | 0.11 | 500 | 0.3361 |
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| 0.3239 | 0.21 | 1000 | 0.2993 |
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| 0.2485 | 0.32 | 1500 | 0.2899 |
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| 0.3632 | 0.43 | 2000 | 0.2650 |
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| 0.3141 | 0.54 | 2500 | 0.2555 |
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| 0.2913 | 0.64 | 3000 | 0.2537 |
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| 0.2587 | 0.75 | 3500 | 0.2474 |
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| 0.2745 | 0.86 | 4000 | 0.2408 |
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| 0.2725 | 0.96 | 4500 | 0.2362 |
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| 0.2025 | 1.07 | 5000 | 0.2468 |
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| 0.2088 | 1.18 | 5500 | 0.2368 |
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| 0.1912 | 1.28 | 6000 | 0.2447 |
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| 0.2098 | 1.39 | 6500 | 0.2311 |
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| 0.1839 | 1.5 | 7000 | 0.2336 |
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| 0.2407 | 1.61 | 7500 | 0.2280 |
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| 0.1692 | 1.71 | 8000 | 0.2229 |
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| 0.1965 | 1.82 | 8500 | 0.2220 |
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| 0.2013 | 1.93 | 9000 | 0.2175 |
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| 0.1455 | 2.03 | 9500 | 0.2243 |
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| 0.1466 | 2.14 | 10000 | 0.2235 |
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| 0.1493 | 2.25 | 10500 | 0.2223 |
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| 0.1224 | 2.35 | 11000 | 0.2207 |
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| 0.1491 | 2.46 | 11500 | 0.2173 |
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| 0.1484 | 2.57 | 12000 | 0.2175 |
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| 0.1582 | 2.68 | 12500 | 0.2175 |
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| 0.1592 | 2.78 | 13000 | 0.2137 |
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| 0.1467 | 2.89 | 13500 | 0.2153 |
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| 0.1637 | 3.0 | 14000 | 0.2136 |
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### Framework versions
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