Broomva commited on
Commit
15c55d9
1 Parent(s): 8bab4e6

End of training

Browse files
Files changed (2) hide show
  1. README.md +27 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 2.3448
21
- - Bleu: 0.8589
22
- - Gen Len: 7.8445
23
 
24
  ## Model description
25
 
@@ -45,28 +45,36 @@ The following hyperparameters were used during training:
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_steps: 10
48
- - num_epochs: 15
49
  - mixed_precision_training: Native AMP
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
55
- | 2.6553 | 1.0 | 304 | 2.9772 | 0.9611 | 6.1028 |
56
- | 2.6661 | 2.0 | 608 | 2.7496 | 0.0 | 6.8129 |
57
- | 2.553 | 3.0 | 912 | 2.6381 | 0.0 | 7.2161 |
58
- | 2.6702 | 4.0 | 1216 | 2.5550 | 0.0 | 7.3794 |
59
- | 3.1386 | 5.0 | 1520 | 2.4985 | 0.0 | 7.5744 |
60
- | 2.3387 | 6.0 | 1824 | 2.4607 | 0.9169 | 7.473 |
61
- | 3.3462 | 7.0 | 2128 | 2.4259 | 0.822 | 7.4466 |
62
- | 2.0526 | 8.0 | 2432 | 2.4022 | 1.1966 | 7.8248 |
63
- | 2.4075 | 9.0 | 2736 | 2.3867 | 1.001 | 7.7181 |
64
- | 2.4695 | 10.0 | 3040 | 2.3788 | 1.0691 | 7.6588 |
65
- | 2.3329 | 11.0 | 3344 | 2.3620 | 0.969 | 7.809 |
66
- | 2.5314 | 12.0 | 3648 | 2.3534 | 0.8161 | 8.0 |
67
- | 2.0364 | 13.0 | 3952 | 2.3502 | 0.9381 | 7.8682 |
68
- | 2.1105 | 14.0 | 4256 | 2.3445 | 0.8495 | 7.8682 |
69
- | 2.6594 | 15.0 | 4560 | 2.3448 | 0.8589 | 7.8445 |
 
 
 
 
 
 
 
 
70
 
71
 
72
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 2.2411
21
+ - Bleu: 0.608
22
+ - Gen Len: 8.108
23
 
24
  ## Model description
25
 
 
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_steps: 10
48
+ - num_epochs: 30
49
  - mixed_precision_training: Native AMP
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
55
+ | 2.6692 | 1.0 | 304 | 2.9825 | 0.8944 | 6.2582 |
56
+ | 2.6593 | 2.0 | 608 | 2.7422 | 0.0 | 6.9895 |
57
+ | 2.5452 | 3.0 | 912 | 2.6276 | 0.0 | 7.1924 |
58
+ | 2.5998 | 4.0 | 1216 | 2.5437 | 0.0 | 7.3347 |
59
+ | 3.0987 | 5.0 | 1520 | 2.4819 | 0.0 | 7.5204 |
60
+ | 2.3259 | 6.0 | 1824 | 2.4409 | 0.0 | 7.4466 |
61
+ | 3.2006 | 7.0 | 2128 | 2.3988 | 0.6694 | 7.4058 |
62
+ | 1.989 | 8.0 | 2432 | 2.3669 | 0.6097 | 8.1383 |
63
+ | 2.3702 | 9.0 | 2736 | 2.3464 | 0.9537 | 8.1542 |
64
+ | 2.3841 | 10.0 | 3040 | 2.3434 | 0.9045 | 7.7852 |
65
+ | 2.2193 | 11.0 | 3344 | 2.3119 | 0.9082 | 8.22 |
66
+ | 2.4414 | 12.0 | 3648 | 2.2997 | 0.791 | 8.2569 |
67
+ | 1.8003 | 13.0 | 3952 | 2.2848 | 1.0315 | 8.2055 |
68
+ | 1.9862 | 14.0 | 4256 | 2.2756 | 0.6622 | 8.2134 |
69
+ | 2.3814 | 15.0 | 4560 | 2.2678 | 0.6688 | 8.1634 |
70
+ | 2.145 | 16.0 | 4864 | 2.2606 | 0.8214 | 8.2754 |
71
+ | 2.1513 | 17.0 | 5168 | 2.2605 | 1.0985 | 8.2635 |
72
+ | 2.249 | 18.0 | 5472 | 2.2506 | 1.0695 | 8.1726 |
73
+ | 2.3972 | 19.0 | 5776 | 2.2477 | 0.663 | 8.22 |
74
+ | 2.1375 | 20.0 | 6080 | 2.2458 | 0.612 | 8.1515 |
75
+ | 2.4343 | 21.0 | 6384 | 2.2451 | 0.6825 | 8.1871 |
76
+ | 2.9682 | 22.0 | 6688 | 2.2361 | 0.6095 | 8.2306 |
77
+ | 1.8138 | 23.0 | 6992 | 2.2411 | 0.608 | 8.108 |
78
 
79
 
80
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:883be2f8db9bd5f08d7f6a2ead90e3e8b3aa13ce443a097a8a5c1c751dded8fc
3
  size 891644712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d45680b35b2d8cca83c14b672799a29ee6debd82f699363487adcd68f939273
3
  size 891644712