Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ inference:
|
|
| 12 |
temperature: 0.8
|
| 13 |
repetition_penalty: 1.15
|
| 14 |
no_repeat_ngram_size: 4
|
| 15 |
-
eta_cutoff: 0.
|
| 16 |
renormalize_logits: true
|
| 17 |
widget:
|
| 18 |
- text: avocado chair
|
|
@@ -59,52 +59,3 @@ The following hyperparameters were used during training:
|
|
| 59 |
- lr_scheduler_type: inverse_sqrt
|
| 60 |
- lr_scheduler_warmup_ratio: 0.05
|
| 61 |
- num_epochs: 1.0
|
| 62 |
-
|
| 63 |
-
### Training results
|
| 64 |
-
|
| 65 |
-
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 66 |
-
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 67 |
-
| 3.3031 | 0.03 | 200 | 3.2643 | 0.4169 |
|
| 68 |
-
| 3.1762 | 0.06 | 400 | 3.1674 | 0.4247 |
|
| 69 |
-
| 3.0914 | 0.08 | 600 | 3.0850 | 0.4359 |
|
| 70 |
-
| 3.0384 | 0.11 | 800 | 3.0371 | 0.4419 |
|
| 71 |
-
| 3.0235 | 0.14 | 1000 | 3.0057 | 0.4467 |
|
| 72 |
-
| 2.9874 | 0.17 | 1200 | 2.9816 | 0.4496 |
|
| 73 |
-
| 2.9708 | 0.19 | 1400 | 2.9650 | 0.4518 |
|
| 74 |
-
| 2.9796 | 0.22 | 1600 | 2.9487 | 0.4541 |
|
| 75 |
-
| 2.9371 | 0.25 | 1800 | 2.9364 | 0.4560 |
|
| 76 |
-
| 2.932 | 0.28 | 2000 | 2.9265 | 0.4571 |
|
| 77 |
-
| 2.9272 | 0.3 | 2200 | 2.9175 | 0.4580 |
|
| 78 |
-
| 2.935 | 0.33 | 2400 | 2.9115 | 0.4591 |
|
| 79 |
-
| 2.9074 | 0.36 | 2600 | 2.9038 | 0.4600 |
|
| 80 |
-
| 2.9404 | 0.39 | 2800 | 2.8986 | 0.4611 |
|
| 81 |
-
| 2.8896 | 0.41 | 3000 | 2.8938 | 0.4617 |
|
| 82 |
-
| 2.8946 | 0.44 | 3200 | 2.8893 | 0.4624 |
|
| 83 |
-
| 2.9183 | 0.47 | 3400 | 2.8855 | 0.4623 |
|
| 84 |
-
| 2.887 | 0.5 | 3600 | 2.8813 | 0.4638 |
|
| 85 |
-
| 2.8823 | 0.52 | 3800 | 2.8780 | 0.4638 |
|
| 86 |
-
| 2.9171 | 0.55 | 4000 | 2.8744 | 0.4642 |
|
| 87 |
-
| 2.8884 | 0.58 | 4200 | 2.8718 | 0.4646 |
|
| 88 |
-
| 2.8875 | 0.61 | 4400 | 2.8700 | 0.4651 |
|
| 89 |
-
| 2.9121 | 0.63 | 4600 | 2.8668 | 0.4653 |
|
| 90 |
-
| 2.8653 | 0.66 | 4800 | 2.8639 | 0.4658 |
|
| 91 |
-
| 2.8603 | 0.69 | 5000 | 2.8625 | 0.4659 |
|
| 92 |
-
| 2.8489 | 0.72 | 5200 | 2.8598 | 0.4661 |
|
| 93 |
-
| 2.8674 | 0.74 | 5400 | 2.8577 | 0.4666 |
|
| 94 |
-
| 2.884 | 0.77 | 5600 | 2.8554 | 0.4669 |
|
| 95 |
-
| 2.857 | 0.8 | 5800 | 2.8535 | 0.4672 |
|
| 96 |
-
| 2.8747 | 0.83 | 6000 | 2.8516 | 0.4673 |
|
| 97 |
-
| 2.8809 | 0.86 | 6200 | 2.8501 | 0.4672 |
|
| 98 |
-
| 2.8832 | 0.88 | 6400 | 2.8482 | 0.4679 |
|
| 99 |
-
| 2.8817 | 0.91 | 6600 | 2.8472 | 0.4681 |
|
| 100 |
-
| 2.8813 | 0.94 | 6800 | 2.8457 | 0.4684 |
|
| 101 |
-
| 2.8493 | 0.97 | 7000 | 2.8444 | 0.4677 |
|
| 102 |
-
| 2.8455 | 0.99 | 7200 | 2.8431 | 0.4682 |
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
### Framework versions
|
| 106 |
-
|
| 107 |
-
- Transformers 4.36.0.dev0
|
| 108 |
-
- Pytorch 2.1.0
|
| 109 |
-
- Datasets 2.15.0
|
| 110 |
-
- Tokenizers 0.15.0
|
|
|
|
| 12 |
temperature: 0.8
|
| 13 |
repetition_penalty: 1.15
|
| 14 |
no_repeat_ngram_size: 4
|
| 15 |
+
eta_cutoff: 0.001
|
| 16 |
renormalize_logits: true
|
| 17 |
widget:
|
| 18 |
- text: avocado chair
|
|
|
|
| 59 |
- lr_scheduler_type: inverse_sqrt
|
| 60 |
- lr_scheduler_warmup_ratio: 0.05
|
| 61 |
- num_epochs: 1.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|