Hugging Face's logo

thrunlab
/
t5-base_cola_moe_ex9_sp0_05_ar0_0_mare_mlp

Text Classification
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
lukeleeai commited on
Commit
e3e8e61
•
1 Parent(s): 1c28c61

End of training

Browse files
Files changed (1) hide show
  1. README.md +29 -11
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 4.3499
36
  - Accuracy: 0.0
37
 
38
  ## Model description
@@ -65,16 +65,34 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 0.387 | 0.09 | 25 | 0.5450 | 0.8293 |
69
- | 0.2475 | 0.19 | 50 | 0.5868 | 0.8188 |
70
- | 0.3632 | 0.28 | 75 | 0.4910 | 0.8178 |
71
- | 0.3274 | 0.37 | 100 | 0.4657 | 0.8169 |
72
- | 0.3411 | 0.47 | 125 | 0.5840 | 0.8188 |
73
- | 0.3016 | 0.56 | 150 | 0.5476 | 0.8169 |
74
- | 0.2658 | 0.65 | 175 | 0.5822 | 0.8130 |
75
- | 0.3412 | 0.75 | 200 | 0.5156 | 0.8188 |
76
- | 0.2783 | 0.84 | 225 | 0.4850 | 0.8245 |
77
- | 0.3596 | 0.93 | 250 | 0.5406 | 0.8284 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
 
79
 
80
  ### Framework versions
 
32
 
33
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 3.9386
36
  - Accuracy: 0.0
37
 
38
  ## Model description
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 1.2328 | 0.09 | 25 | 1.1651 | 0.7383 |
69
+ | 0.764 | 0.19 | 50 | 0.7678 | 0.7287 |
70
+ | 0.6109 | 0.28 | 75 | 0.6739 | 0.7718 |
71
+ | 0.5633 | 0.37 | 100 | 0.5954 | 0.7661 |
72
+ | 0.5133 | 0.47 | 125 | 0.5870 | 0.7814 |
73
+ | 0.5224 | 0.56 | 150 | 0.5766 | 0.7785 |
74
+ | 0.4876 | 0.65 | 175 | 0.5574 | 0.7881 |
75
+ | 0.5157 | 0.75 | 200 | 0.5760 | 0.7881 |
76
+ | 0.4745 | 0.84 | 225 | 0.5327 | 0.7824 |
77
+ | 0.4612 | 0.93 | 250 | 0.5576 | 0.7900 |
78
+ | 0.4491 | 1.03 | 275 | 0.5174 | 0.7881 |
79
+ | 0.358 | 1.12 | 300 | 0.6065 | 0.7900 |
80
+ | 0.3363 | 1.21 | 325 | 0.6949 | 0.7919 |
81
+ | 0.4065 | 1.31 | 350 | 0.5112 | 0.7987 |
82
+ | 0.4044 | 1.4 | 375 | 0.5681 | 0.8063 |
83
+ | 0.3888 | 1.49 | 400 | 0.5422 | 0.7996 |
84
+ | 0.4992 | 1.59 | 425 | 0.5294 | 0.7900 |
85
+ | 0.4231 | 1.68 | 450 | 0.5221 | 0.8044 |
86
+ | 0.4912 | 1.77 | 475 | 0.4984 | 0.8130 |
87
+ | 0.4951 | 1.87 | 500 | 0.5109 | 0.8015 |
88
+ | 0.3117 | 1.96 | 525 | 0.5640 | 0.8044 |
89
+ | 0.3822 | 2.05 | 550 | 0.5524 | 0.8130 |
90
+ | 0.3886 | 2.15 | 575 | 0.6092 | 0.8121 |
91
+ | 0.305 | 2.24 | 600 | 0.5380 | 0.8111 |
92
+ | 0.4815 | 2.33 | 625 | 0.5478 | 0.8111 |
93
+ | 0.3298 | 2.43 | 650 | 0.5298 | 0.8150 |
94
+ | 0.3533 | 2.52 | 675 | 0.5043 | 0.8140 |
95
+ | 0.3706 | 2.61 | 700 | 0.5810 | 0.8178 |
96
 
97
 
98
  ### Framework versions