Hugging Face's logo

arus05
/
2

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
Community
arus05 commited on
Commit
d0361f2
·
verified ·
1 Parent(s): 990b4a9

Model save

Browse files
Files changed (2) hide show
  1. README.md +26 -21
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  library_name: transformers
3
  license: apache-2.0
4
- base_model: t5-base
5
  tags:
6
  - generated_from_trainer
7
  metrics:
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # 2
20
 
21
- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.3759
24
- - Precision: 0.5808
25
  - Recall: 0.5957
26
- - F1: 0.5881
27
 
28
  ## Model description
29
 
@@ -48,27 +48,32 @@ The following hyperparameters were used during training:
48
  - seed: 2
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
- - num_epochs: 15
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
57
- | No log | 1.0 | 40 | 0.3256 | 0.4478 | 0.4142 | 0.4303 |
58
- | No log | 2.0 | 80 | 0.2819 | 0.5342 | 0.4931 | 0.5128 |
59
- | No log | 3.0 | 120 | 0.2695 | 0.523 | 0.5385 | 0.5306 |
60
- | No log | 4.0 | 160 | 0.2826 | 0.561 | 0.5621 | 0.5616 |
61
- | No log | 5.0 | 200 | 0.3030 | 0.5489 | 0.5641 | 0.5564 |
62
- | No log | 6.0 | 240 | 0.3197 | 0.5461 | 0.5957 | 0.5698 |
63
- | No log | 7.0 | 280 | 0.3133 | 0.5717 | 0.574 | 0.5728 |
64
- | No log | 8.0 | 320 | 0.3417 | 0.556 | 0.5779 | 0.5667 |
65
- | No log | 9.0 | 360 | 0.3439 | 0.56 | 0.5799 | 0.5698 |
66
- | No log | 10.0 | 400 | 0.3497 | 0.5827 | 0.5976 | 0.5901 |
67
- | No log | 11.0 | 440 | 0.3547 | 0.5664 | 0.5976 | 0.5816 |
68
- | No log | 12.0 | 480 | 0.3668 | 0.562 | 0.5897 | 0.5756 |
69
- | 0.171 | 13.0 | 520 | 0.3733 | 0.5712 | 0.5858 | 0.5784 |
70
- | 0.171 | 14.0 | 560 | 0.3748 | 0.5783 | 0.5897 | 0.584 |
71
- | 0.171 | 15.0 | 600 | 0.3759 | 0.5808 | 0.5957 | 0.5881 |
 
 
 
 
 
72
 
73
 
74
  ### Framework versions
 
1
  ---
2
  library_name: transformers
3
  license: apache-2.0
4
+ base_model: google-t5/t5-base
5
  tags:
6
  - generated_from_trainer
7
  metrics:
 
18
 
19
  # 2
20
 
21
+ This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.4030
24
+ - Precision: 0.572
25
  - Recall: 0.5957
26
+ - F1: 0.5836
27
 
28
  ## Model description
29
 
 
48
  - seed: 2
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
+ - num_epochs: 20
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
57
+ | No log | 1.0 | 40 | 0.3278 | 0.4527 | 0.4063 | 0.4283 |
58
+ | No log | 2.0 | 80 | 0.2886 | 0.53 | 0.4872 | 0.5077 |
59
+ | No log | 3.0 | 120 | 0.2747 | 0.5576 | 0.5345 | 0.5458 |
60
+ | No log | 4.0 | 160 | 0.2895 | 0.5717 | 0.5582 | 0.5649 |
61
+ | No log | 5.0 | 200 | 0.3065 | 0.5518 | 0.5779 | 0.5645 |
62
+ | No log | 6.0 | 240 | 0.3145 | 0.5391 | 0.5976 | 0.5669 |
63
+ | No log | 7.0 | 280 | 0.3286 | 0.5508 | 0.5779 | 0.564 |
64
+ | No log | 8.0 | 320 | 0.3402 | 0.5461 | 0.572 | 0.5588 |
65
+ | No log | 9.0 | 360 | 0.3532 | 0.538 | 0.5582 | 0.5479 |
66
+ | No log | 10.0 | 400 | 0.3647 | 0.5747 | 0.5996 | 0.5869 |
67
+ | No log | 11.0 | 440 | 0.3736 | 0.5562 | 0.5759 | 0.5659 |
68
+ | No log | 12.0 | 480 | 0.3796 | 0.5599 | 0.5897 | 0.5744 |
69
+ | 0.1722 | 13.0 | 520 | 0.3881 | 0.581 | 0.6016 | 0.5911 |
70
+ | 0.1722 | 14.0 | 560 | 0.3938 | 0.562 | 0.5897 | 0.5756 |
71
+ | 0.1722 | 15.0 | 600 | 0.3891 | 0.5679 | 0.5937 | 0.5805 |
72
+ | 0.1722 | 16.0 | 640 | 0.3926 | 0.5647 | 0.5937 | 0.5788 |
73
+ | 0.1722 | 17.0 | 680 | 0.4031 | 0.5701 | 0.6016 | 0.5854 |
74
+ | 0.1722 | 18.0 | 720 | 0.4037 | 0.5744 | 0.5937 | 0.5839 |
75
+ | 0.1722 | 19.0 | 760 | 0.4029 | 0.572 | 0.5957 | 0.5836 |
76
+ | 0.1722 | 20.0 | 800 | 0.4030 | 0.572 | 0.5957 | 0.5836 |
77
 
78
 
79
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf37f0f8489b36e35ba3e868498df16faf0619a25a537447b6b50544b47e1cfc
3
  size 891644712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5352b6aac9dbfb4079a3aa196bb1b75ae4c0189eb5ade67b430e8e3e6e4800e7
3
  size 891644712