Model save
Browse files- README.md +51 -55
- all_results.json +6 -6
- train_results.json +6 -6
README.md
CHANGED
|
@@ -5,18 +5,18 @@ base_model: gpt2
|
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
-
- name:
|
| 9 |
results: []
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
-
#
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss:
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
@@ -46,61 +46,57 @@ The following hyperparameters were used during training:
|
|
| 46 |
- lr_scheduler_warmup_steps: 200
|
| 47 |
- num_epochs: 50
|
| 48 |
- mixed_precision_training: Native AMP
|
|
|
|
| 49 |
|
| 50 |
### Training results
|
| 51 |
|
| 52 |
-
| Training Loss | Epoch
|
| 53 |
-
|:-------------:|:-----
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
| 60 |
-
|
|
| 61 |
-
|
|
| 62 |
-
|
|
| 63 |
-
|
|
| 64 |
-
|
|
| 65 |
-
|
|
| 66 |
-
|
|
| 67 |
-
|
|
| 68 |
-
|
|
| 69 |
-
|
|
| 70 |
-
|
|
| 71 |
-
|
|
| 72 |
-
|
|
| 73 |
-
|
|
| 74 |
-
|
|
| 75 |
-
|
|
| 76 |
-
|
|
| 77 |
-
|
|
| 78 |
-
|
|
| 79 |
-
|
|
| 80 |
-
|
|
| 81 |
-
|
|
| 82 |
-
|
|
| 83 |
-
|
|
| 84 |
-
|
|
| 85 |
-
|
|
| 86 |
-
|
|
| 87 |
-
|
|
| 88 |
-
|
|
| 89 |
-
|
|
| 90 |
-
|
|
| 91 |
-
|
|
| 92 |
-
|
|
| 93 |
-
|
|
| 94 |
-
|
|
| 95 |
-
|
|
| 96 |
-
|
|
| 97 |
-
|
|
| 98 |
-
|
|
| 99 |
-
| 0.6673 | 46.0 | 12282 | 0.6710 |
|
| 100 |
-
| 0.6666 | 47.0 | 12549 | 0.6710 |
|
| 101 |
-
| 0.6661 | 48.0 | 12816 | 0.6709 |
|
| 102 |
-
| 0.6637 | 49.0 | 13083 | 0.6709 |
|
| 103 |
-
| 0.665 | 49.8143 | 13300 | 0.6709 |
|
| 104 |
|
| 105 |
|
| 106 |
### Framework versions
|
|
|
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
+
- name: Se124M10KInfPrompt_endtoken_ls
|
| 9 |
results: []
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
+
# Se124M10KInfPrompt_endtoken_ls
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 2.0494
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
|
|
| 46 |
- lr_scheduler_warmup_steps: 200
|
| 47 |
- num_epochs: 50
|
| 48 |
- mixed_precision_training: Native AMP
|
| 49 |
+
- label_smoothing_factor: 0.1
|
| 50 |
|
| 51 |
### Training results
|
| 52 |
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 55 |
+
| 19.0863 | 1.0 | 267 | 2.1942 |
|
| 56 |
+
| 17.6413 | 2.0 | 534 | 2.1318 |
|
| 57 |
+
| 17.3454 | 3.0 | 801 | 2.1143 |
|
| 58 |
+
| 17.2455 | 4.0 | 1068 | 2.0979 |
|
| 59 |
+
| 17.112 | 5.0 | 1335 | 2.0918 |
|
| 60 |
+
| 17.0311 | 6.0 | 1602 | 2.0852 |
|
| 61 |
+
| 16.9714 | 7.0 | 1869 | 2.0805 |
|
| 62 |
+
| 16.8883 | 8.0 | 2136 | 2.0760 |
|
| 63 |
+
| 16.8675 | 9.0 | 2403 | 2.0727 |
|
| 64 |
+
| 16.8491 | 10.0 | 2670 | 2.0699 |
|
| 65 |
+
| 16.8653 | 11.0 | 2937 | 2.0698 |
|
| 66 |
+
| 16.7795 | 12.0 | 3204 | 2.0718 |
|
| 67 |
+
| 16.8033 | 13.0 | 3471 | 2.0635 |
|
| 68 |
+
| 16.7715 | 14.0 | 3738 | 2.0644 |
|
| 69 |
+
| 16.7677 | 15.0 | 4005 | 2.0632 |
|
| 70 |
+
| 16.7682 | 16.0 | 4272 | 2.0615 |
|
| 71 |
+
| 16.7473 | 17.0 | 4539 | 2.0598 |
|
| 72 |
+
| 16.7306 | 18.0 | 4806 | 2.0615 |
|
| 73 |
+
| 16.6896 | 19.0 | 5073 | 2.0586 |
|
| 74 |
+
| 16.7027 | 20.0 | 5340 | 2.0589 |
|
| 75 |
+
| 16.6991 | 21.0 | 5607 | 2.0581 |
|
| 76 |
+
| 16.6864 | 22.0 | 5874 | 2.0573 |
|
| 77 |
+
| 16.6749 | 23.0 | 6141 | 2.0562 |
|
| 78 |
+
| 16.6714 | 24.0 | 6408 | 2.0551 |
|
| 79 |
+
| 16.6603 | 25.0 | 6675 | 2.0546 |
|
| 80 |
+
| 16.6801 | 26.0 | 6942 | 2.0542 |
|
| 81 |
+
| 16.6263 | 27.0 | 7209 | 2.0541 |
|
| 82 |
+
| 16.6436 | 28.0 | 7476 | 2.0531 |
|
| 83 |
+
| 16.6471 | 29.0 | 7743 | 2.0523 |
|
| 84 |
+
| 16.6412 | 30.0 | 8010 | 2.0549 |
|
| 85 |
+
| 16.6017 | 31.0 | 8277 | 2.0529 |
|
| 86 |
+
| 16.6352 | 32.0 | 8544 | 2.0510 |
|
| 87 |
+
| 16.5937 | 33.0 | 8811 | 2.0522 |
|
| 88 |
+
| 16.6165 | 34.0 | 9078 | 2.0511 |
|
| 89 |
+
| 16.5961 | 35.0 | 9345 | 2.0518 |
|
| 90 |
+
| 16.5675 | 36.0 | 9612 | 2.0514 |
|
| 91 |
+
| 16.5565 | 37.0 | 9879 | 2.0499 |
|
| 92 |
+
| 16.6215 | 38.0 | 10146 | 2.0504 |
|
| 93 |
+
| 16.6133 | 39.0 | 10413 | 2.0505 |
|
| 94 |
+
| 16.5901 | 40.0 | 10680 | 2.0492 |
|
| 95 |
+
| 16.5841 | 41.0 | 10947 | 2.0500 |
|
| 96 |
+
| 16.5856 | 42.0 | 11214 | 2.0493 |
|
| 97 |
+
| 16.5775 | 43.0 | 11481 | 2.0494 |
|
| 98 |
+
| 16.5873 | 44.0 | 11748 | 2.0497 |
|
| 99 |
+
| 16.5285 | 45.0 | 12015 | 2.0494 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
|
| 101 |
|
| 102 |
### Framework versions
|
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
"eval_loss": 0.6708822250366211,
|
| 4 |
"eval_runtime": 3.6448,
|
| 5 |
"eval_samples_per_second": 501.534,
|
| 6 |
"eval_steps_per_second": 62.829,
|
| 7 |
"perplexity": 1.9559621584633884,
|
| 8 |
-
"total_flos":
|
| 9 |
-
"train_loss":
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second":
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 45.0,
|
| 3 |
"eval_loss": 0.6708822250366211,
|
| 4 |
"eval_runtime": 3.6448,
|
| 5 |
"eval_samples_per_second": 501.534,
|
| 6 |
"eval_steps_per_second": 62.829,
|
| 7 |
"perplexity": 1.9559621584633884,
|
| 8 |
+
"total_flos": 1.975920863064883e+16,
|
| 9 |
+
"train_loss": 16.87015275197182,
|
| 10 |
+
"train_runtime": 3210.0048,
|
| 11 |
+
"train_samples_per_second": 132.835,
|
| 12 |
+
"train_steps_per_second": 4.143
|
| 13 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 45.0,
|
| 3 |
+
"total_flos": 1.975920863064883e+16,
|
| 4 |
+
"train_loss": 16.87015275197182,
|
| 5 |
+
"train_runtime": 3210.0048,
|
| 6 |
+
"train_samples_per_second": 132.835,
|
| 7 |
+
"train_steps_per_second": 4.143
|
| 8 |
}
|