End of training
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- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.1172 | 0.93 | 1950 | 0.3199 | 0.9312 |
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| 0.1617 | 0.95 | 2000 | 0.2931 | 0.9346 |
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| 0.1293 | 0.97 | 2050 | 0.2978 | 0.9381 |
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| 0.1686 | 1.0 | 2100 | 0.2885 | 0.9369 |
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| 0.7247 | 1.02 | 2150 | 0.7872 | 0.9300 |
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| 0.0679 | 1.05 | 2200 | 0.3114 | 0.9404 |
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| 0.0522 | 1.07 | 2250 | 0.2998 | 0.9346 |
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| 0.078 | 1.09 | 2300 | 0.3418 | 0.9358 |
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| 0.0749 | 1.12 | 2350 | 0.3248 | 0.9381 |
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| 0.0483 | 1.14 | 2400 | 0.4340 | 0.9369 |
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| 0.1534 | 1.16 | 2450 | 0.4428 | 0.9358 |
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| 0.1007 | 1.19 | 2500 | 0.4344 | 0.9369 |
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| 0.0655 | 1.21 | 2550 | 0.3215 | 0.9369 |
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| 0.074 | 1.24 | 2600 | 0.3182 | 0.9404 |
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9231651376146789
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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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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2179
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- Accuracy: 0.9232
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6384 | 0.02 | 50 | 0.6360 | 0.7064 |
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| 0.3416 | 0.05 | 100 | 0.2955 | 0.8922 |
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| 0.29 | 0.07 | 150 | 0.2512 | 0.9094 |
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| 0.2371 | 0.1 | 200 | 0.2511 | 0.9106 |
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| 0.2059 | 0.12 | 250 | 0.2379 | 0.9174 |
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| 0.2617 | 0.14 | 300 | 0.2299 | 0.9174 |
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| 0.2266 | 0.17 | 350 | 0.2190 | 0.9243 |
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| 0.2288 | 0.19 | 400 | 0.2292 | 0.9255 |
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| 0.2385 | 0.21 | 450 | 0.2263 | 0.9232 |
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| 0.161 | 0.24 | 500 | 0.2368 | 0.9243 |
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| 0.158 | 0.26 | 550 | 0.2411 | 0.9174 |
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| 0.2469 | 0.29 | 600 | 0.2381 | 0.9209 |
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| 0.2417 | 0.31 | 650 | 0.2349 | 0.9163 |
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| 0.1614 | 0.33 | 700 | 0.2251 | 0.9174 |
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| 0.2764 | 0.36 | 750 | 0.2129 | 0.9266 |
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| 0.1499 | 0.38 | 800 | 0.2248 | 0.9197 |
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| 0.1376 | 0.4 | 850 | 0.2285 | 0.9232 |
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| 0.1875 | 0.43 | 900 | 0.2324 | 0.9312 |
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| 0.1819 | 0.45 | 950 | 0.2302 | 0.9220 |
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| 0.2373 | 0.48 | 1000 | 0.2179 | 0.9232 |
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| 0.0956 | 0.5 | 1050 | 0.2077 | 0.9278 |
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| 0.2396 | 0.52 | 1100 | 0.3249 | 0.9266 |
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| 0.2543 | 0.55 | 1150 | 0.4440 | 0.9243 |
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| 0.0942 | 0.57 | 1200 | 0.1982 | 0.9312 |
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| 0.1296 | 0.59 | 1250 | 0.4270 | 0.9335 |
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| 0.1618 | 0.62 | 1300 | 0.1893 | 0.9392 |
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| 0.1902 | 0.64 | 1350 | 0.1911 | 0.9381 |
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| 0.1234 | 0.67 | 1400 | 0.1903 | 0.9346 |
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| 0.1369 | 0.69 | 1450 | 0.4157 | 0.9335 |
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| 0.1149 | 0.71 | 1500 | 0.4121 | 0.9323 |
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| 0.1501 | 0.74 | 1550 | 0.6343 | 0.9358 |
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| 0.1679 | 0.76 | 1600 | 0.5294 | 0.9323 |
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| 0.1462 | 0.78 | 1650 | 0.4037 | 0.9392 |
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| 0.2111 | 0.81 | 1700 | 0.4094 | 0.9323 |
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| 0.0902 | 0.83 | 1750 | 0.4094 | 0.9346 |
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| 0.1185 | 0.86 | 1800 | 0.4059 | 0.9323 |
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| 0.1602 | 0.88 | 1850 | 0.2946 | 0.9323 |
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| 0.1212 | 0.9 | 1900 | 0.3037 | 0.9312 |
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### Framework versions
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 894094241
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version https://git-lfs.github.com/spec/v1
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size 894094241
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