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t5-large_cola_sp0_ar0

Text Classification
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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lukeleeai commited on
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End of training

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  1. README.md +71 -41
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.880859375
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3777
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- - Accuracy: 0.8809
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  ## Model description
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@@ -59,49 +59,79 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 20
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5951 | 0.05 | 25 | 0.7088 | 0.6913 |
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- | 0.5805 | 0.11 | 50 | 0.5398 | 0.6913 |
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- | 0.5083 | 0.16 | 75 | 0.4858 | 0.8025 |
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- | 0.4229 | 0.21 | 100 | 0.5415 | 0.7881 |
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- | 0.4178 | 0.27 | 125 | 0.4968 | 0.7939 |
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- | 0.4273 | 0.32 | 150 | 0.4996 | 0.8054 |
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- | 0.4297 | 0.37 | 175 | 0.4798 | 0.8044 |
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- | 0.4032 | 0.42 | 200 | 0.4975 | 0.8140 |
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- | 0.4246 | 0.48 | 225 | 0.4489 | 0.8226 |
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- | 0.4065 | 0.53 | 250 | 0.4677 | 0.8245 |
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- | 0.4173 | 0.58 | 275 | 0.4121 | 0.8265 |
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- | 0.3738 | 0.64 | 300 | 0.4524 | 0.8313 |
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- | 0.3582 | 0.69 | 325 | 0.4726 | 0.8332 |
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- | 0.3913 | 0.74 | 350 | 0.4031 | 0.8303 |
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- | 0.3568 | 0.8 | 375 | 0.4740 | 0.8360 |
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- | 0.337 | 0.85 | 400 | 0.4273 | 0.8322 |
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- | 0.3437 | 0.9 | 425 | 0.4838 | 0.8370 |
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- | 0.3879 | 0.96 | 450 | 0.4346 | 0.8360 |
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- | 0.3248 | 1.01 | 475 | 0.4600 | 0.8370 |
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- | 0.2341 | 1.06 | 500 | 0.5489 | 0.8370 |
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- | 0.3 | 1.11 | 525 | 0.4724 | 0.8408 |
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- | 0.1939 | 1.17 | 550 | 0.5440 | 0.8437 |
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- | 0.2323 | 1.22 | 575 | 0.8830 | 0.8332 |
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- | 0.2769 | 1.27 | 600 | 0.7055 | 0.8265 |
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- | 0.1975 | 1.33 | 625 | 0.5484 | 0.8380 |
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- | 0.2647 | 1.38 | 650 | 0.5763 | 0.8341 |
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- | 0.225 | 1.43 | 675 | 0.5599 | 0.8351 |
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- | 0.2835 | 1.49 | 700 | 0.6487 | 0.8313 |
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- | 0.2591 | 1.54 | 725 | 0.5308 | 0.8332 |
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- | 0.2751 | 1.59 | 750 | 0.4780 | 0.8332 |
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- | 0.2602 | 1.65 | 775 | 0.4718 | 0.8389 |
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- | 0.2315 | 1.7 | 800 | 0.5345 | 0.8313 |
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- | 0.1938 | 1.75 | 825 | 0.5500 | 0.8332 |
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- | 0.2507 | 1.8 | 850 | 0.5696 | 0.8322 |
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- | 0.2734 | 1.86 | 875 | 0.5624 | 0.8303 |
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- | 0.2917 | 1.91 | 900 | 0.5438 | 0.8303 |
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- | 0.2492 | 1.96 | 925 | 0.5352 | 0.8313 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.873046875
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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-large](https://huggingface.co/t5-large) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4531
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+ - Accuracy: 0.8730
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 20
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6179 | 0.05 | 25 | 0.7262 | 0.6913 |
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+ | 0.5561 | 0.11 | 50 | 0.5504 | 0.6961 |
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+ | 0.5041 | 0.16 | 75 | 0.5027 | 0.7996 |
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+ | 0.454 | 0.21 | 100 | 0.5353 | 0.7881 |
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+ | 0.3981 | 0.27 | 125 | 0.5393 | 0.8063 |
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+ | 0.4205 | 0.32 | 150 | 0.5582 | 0.7987 |
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+ | 0.4305 | 0.37 | 175 | 0.4384 | 0.8073 |
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+ | 0.4041 | 0.42 | 200 | 0.5255 | 0.8140 |
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+ | 0.4319 | 0.48 | 225 | 0.5297 | 0.8102 |
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+ | 0.3674 | 0.53 | 250 | 0.4788 | 0.8226 |
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+ | 0.4013 | 0.58 | 275 | 0.5254 | 0.8150 |
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+ | 0.4003 | 0.64 | 300 | 0.4980 | 0.8044 |
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+ | 0.3794 | 0.69 | 325 | 0.4988 | 0.8188 |
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+ | 0.4002 | 0.74 | 350 | 0.4188 | 0.8274 |
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+ | 0.3793 | 0.8 | 375 | 0.4412 | 0.8188 |
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+ | 0.3502 | 0.85 | 400 | 0.4862 | 0.8178 |
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+ | 0.3563 | 0.9 | 425 | 0.4951 | 0.8082 |
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+ | 0.3962 | 0.96 | 450 | 0.5133 | 0.8073 |
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+ | 0.3474 | 1.01 | 475 | 0.4908 | 0.8265 |
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+ | 0.22 | 1.06 | 500 | 0.6653 | 0.8198 |
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+ | 0.2745 | 1.11 | 525 | 0.4787 | 0.8360 |
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+ | 0.2181 | 1.17 | 550 | 0.6265 | 0.8245 |
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+ | 0.283 | 1.22 | 575 | 0.6629 | 0.8265 |
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+ | 0.311 | 1.27 | 600 | 0.4652 | 0.8399 |
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+ | 0.2169 | 1.33 | 625 | 0.5805 | 0.8370 |
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+ | 0.2764 | 1.38 | 650 | 0.5420 | 0.8322 |
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+ | 0.2186 | 1.43 | 675 | 0.5668 | 0.8322 |
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+ | 0.3297 | 1.49 | 700 | 0.6130 | 0.8332 |
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+ | 0.2419 | 1.54 | 725 | 0.4862 | 0.8332 |
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+ | 0.2713 | 1.59 | 750 | 0.4718 | 0.8255 |
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+ | 0.2681 | 1.65 | 775 | 0.4710 | 0.8322 |
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+ | 0.231 | 1.7 | 800 | 0.6525 | 0.8121 |
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+ | 0.2286 | 1.75 | 825 | 0.5772 | 0.8236 |
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+ | 0.2965 | 1.8 | 850 | 0.5093 | 0.8303 |
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+ | 0.2791 | 1.86 | 875 | 0.5118 | 0.8303 |
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+ | 0.276 | 1.91 | 900 | 0.5549 | 0.8313 |
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+ | 0.2555 | 1.96 | 925 | 0.5499 | 0.8255 |
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+ | 0.2361 | 2.02 | 950 | 0.6162 | 0.8245 |
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+ | 0.1706 | 2.07 | 975 | 0.5747 | 0.8380 |
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+ | 0.1566 | 2.12 | 1000 | 1.1363 | 0.8265 |
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+ | 0.2285 | 2.18 | 1025 | 0.9228 | 0.8341 |
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+ | 0.1501 | 2.23 | 1050 | 0.7669 | 0.8284 |
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+ | 0.1484 | 2.28 | 1075 | 0.8961 | 0.8380 |
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+ | 0.1639 | 2.34 | 1100 | 1.1919 | 0.8303 |
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+ | 0.1021 | 2.39 | 1125 | 3.1020 | 0.8351 |
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+ | 0.1543 | 2.44 | 1150 | 3.1121 | 0.8332 |
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+ | 0.208 | 2.49 | 1175 | 0.8105 | 0.8265 |
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+ | 0.1513 | 2.55 | 1200 | 0.6624 | 0.8360 |
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+ | 0.1866 | 2.6 | 1225 | 0.5803 | 0.8255 |
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+ | 0.1504 | 2.65 | 1250 | 0.7874 | 0.8341 |
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+ | 0.1929 | 2.71 | 1275 | 0.6037 | 0.8293 |
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+ | 0.1972 | 2.76 | 1300 | 0.8352 | 0.8217 |
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+ | 0.1037 | 2.81 | 1325 | 1.9576 | 0.8293 |
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+ | 0.1279 | 2.87 | 1350 | 3.1590 | 0.8303 |
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+ | 0.2085 | 2.92 | 1375 | 4.3899 | 0.8284 |
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+ | 0.191 | 2.97 | 1400 | 3.4493 | 0.8341 |
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+ | 0.1469 | 3.03 | 1425 | 2.4196 | 0.8303 |
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+ | 0.1009 | 3.08 | 1450 | 2.8744 | 0.8360 |
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+ | 0.1243 | 3.13 | 1475 | 3.1569 | 0.8380 |
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+ | 0.0695 | 3.18 | 1500 | 4.7343 | 0.8389 |
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+ | 0.3294 | 3.24 | 1525 | 5.9461 | 0.8370 |
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+ | 0.35 | 3.29 | 1550 | 6.4079 | 0.8341 |
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+ | 0.1144 | 3.34 | 1575 | 5.5799 | 0.8313 |
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+ | 0.1151 | 3.4 | 1600 | 5.1090 | 0.8332 |
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+ | 0.1197 | 3.45 | 1625 | 5.1001 | 0.8341 |
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+ | 0.6171 | 3.5 | 1650 | 4.7312 | 0.8360 |
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+ | 0.1307 | 3.56 | 1675 | 4.3671 | 0.8360 |
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  ### Framework versions
pytorch_model.bin CHANGED
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