Anders L|hr
commited on
Commit
•
0272046
1
Parent(s):
d46be2b
Best 5 class model
Browse files- README.md +846 -0
- all_results.json +12 -0
- checkpoint-2520/config.json +118 -0
- checkpoint-2520/model.safetensors +3 -0
- checkpoint-2520/optimizer.pt +3 -0
- checkpoint-2520/preprocessor_config.json +9 -0
- checkpoint-2520/rng_state.pth +3 -0
- checkpoint-2520/scheduler.pt +3 -0
- checkpoint-2520/trainer_state.json +2387 -0
- checkpoint-2520/training_args.bin +3 -0
- checkpoint-8800/config.json +118 -0
- checkpoint-8800/model.safetensors +3 -0
- checkpoint-8800/optimizer.pt +3 -0
- checkpoint-8800/preprocessor_config.json +9 -0
- checkpoint-8800/rng_state.pth +3 -0
- checkpoint-8800/scheduler.pt +3 -0
- checkpoint-8800/trainer_state.json +0 -0
- checkpoint-8800/training_args.bin +3 -0
- config.json +118 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/May05_00-00-30_ml1.hpc.uio.no/events.out.tfevents.1714860068.ml1.hpc.uio.no.2787261.0 +3 -0
- runs/May05_00-00-30_ml1.hpc.uio.no/events.out.tfevents.1714861899.ml1.hpc.uio.no.2787261.1 +3 -0
- runs/May07_19-58-33_ml1.hpc.uio.no/events.out.tfevents.1715104725.ml1.hpc.uio.no.3712275.0 +3 -0
- runs/May07_19-58-33_ml1.hpc.uio.no/events.out.tfevents.1715108317.ml1.hpc.uio.no.3712275.1 +3 -0
- runs/May07_22-59-29_ml1.hpc.uio.no/events.out.tfevents.1715115582.ml1.hpc.uio.no.3784586.0 +3 -0
- runs/May07_22-59-29_ml1.hpc.uio.no/events.out.tfevents.1715121379.ml1.hpc.uio.no.3784586.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,846 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: anderloh/Huggingface-wav2vec-2Class-easy-train-test
|
| 3 |
+
tags:
|
| 4 |
+
- audio-classification
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: wav2vec2-2Class-easy-train-test-large
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# wav2vec2-2Class-easy-train-test-large
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [anderloh/Huggingface-wav2vec-2Class-easy-train-test](https://huggingface.co/anderloh/Huggingface-wav2vec-2Class-easy-train-test) on the anderloh/Master2ClassEasy dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.1994
|
| 21 |
+
- Accuracy: 0.9623
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 3e-05
|
| 41 |
+
- train_batch_size: 16
|
| 42 |
+
- eval_batch_size: 16
|
| 43 |
+
- seed: 0
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 64
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- num_epochs: 800.0
|
| 50 |
+
- mixed_precision_training: Native AMP
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 55 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 56 |
+
| No log | 0.98 | 11 | 0.7003 | 0.4088 |
|
| 57 |
+
| No log | 1.96 | 22 | 0.7001 | 0.4088 |
|
| 58 |
+
| No log | 2.93 | 33 | 0.6997 | 0.4151 |
|
| 59 |
+
| No log | 4.0 | 45 | 0.6991 | 0.4214 |
|
| 60 |
+
| 0.6976 | 4.98 | 56 | 0.6985 | 0.4277 |
|
| 61 |
+
| 0.6976 | 5.96 | 67 | 0.6977 | 0.4403 |
|
| 62 |
+
| 0.6976 | 6.93 | 78 | 0.6969 | 0.4465 |
|
| 63 |
+
| 0.6976 | 8.0 | 90 | 0.6957 | 0.4654 |
|
| 64 |
+
| 0.6952 | 8.98 | 101 | 0.6945 | 0.4654 |
|
| 65 |
+
| 0.6952 | 9.96 | 112 | 0.6934 | 0.4780 |
|
| 66 |
+
| 0.6952 | 10.93 | 123 | 0.6921 | 0.4906 |
|
| 67 |
+
| 0.6952 | 12.0 | 135 | 0.6906 | 0.5472 |
|
| 68 |
+
| 0.6952 | 12.98 | 146 | 0.6892 | 0.6101 |
|
| 69 |
+
| 0.6911 | 13.96 | 157 | 0.6878 | 0.6038 |
|
| 70 |
+
| 0.6911 | 14.93 | 168 | 0.6863 | 0.5912 |
|
| 71 |
+
| 0.6911 | 16.0 | 180 | 0.6847 | 0.5912 |
|
| 72 |
+
| 0.6911 | 16.98 | 191 | 0.6831 | 0.5849 |
|
| 73 |
+
| 0.6852 | 17.96 | 202 | 0.6815 | 0.5849 |
|
| 74 |
+
| 0.6852 | 18.93 | 213 | 0.6800 | 0.5849 |
|
| 75 |
+
| 0.6852 | 20.0 | 225 | 0.6782 | 0.5849 |
|
| 76 |
+
| 0.6852 | 20.98 | 236 | 0.6765 | 0.5849 |
|
| 77 |
+
| 0.6852 | 21.96 | 247 | 0.6750 | 0.5849 |
|
| 78 |
+
| 0.6783 | 22.93 | 258 | 0.6732 | 0.5849 |
|
| 79 |
+
| 0.6783 | 24.0 | 270 | 0.6713 | 0.5849 |
|
| 80 |
+
| 0.6783 | 24.98 | 281 | 0.6695 | 0.5849 |
|
| 81 |
+
| 0.6783 | 25.96 | 292 | 0.6674 | 0.5849 |
|
| 82 |
+
| 0.6676 | 26.93 | 303 | 0.6654 | 0.5849 |
|
| 83 |
+
| 0.6676 | 28.0 | 315 | 0.6631 | 0.5849 |
|
| 84 |
+
| 0.6676 | 28.98 | 326 | 0.6606 | 0.5849 |
|
| 85 |
+
| 0.6676 | 29.96 | 337 | 0.6579 | 0.5849 |
|
| 86 |
+
| 0.6676 | 30.93 | 348 | 0.6539 | 0.5849 |
|
| 87 |
+
| 0.6516 | 32.0 | 360 | 0.6493 | 0.5975 |
|
| 88 |
+
| 0.6516 | 32.98 | 371 | 0.6441 | 0.6101 |
|
| 89 |
+
| 0.6516 | 33.96 | 382 | 0.6349 | 0.6226 |
|
| 90 |
+
| 0.6516 | 34.93 | 393 | 0.6257 | 0.6289 |
|
| 91 |
+
| 0.6124 | 36.0 | 405 | 0.6117 | 0.6415 |
|
| 92 |
+
| 0.6124 | 36.98 | 416 | 0.5911 | 0.6667 |
|
| 93 |
+
| 0.6124 | 37.96 | 427 | 0.5672 | 0.6918 |
|
| 94 |
+
| 0.6124 | 38.93 | 438 | 0.5392 | 0.7233 |
|
| 95 |
+
| 0.5073 | 40.0 | 450 | 0.5042 | 0.7547 |
|
| 96 |
+
| 0.5073 | 40.98 | 461 | 0.4790 | 0.7673 |
|
| 97 |
+
| 0.5073 | 41.96 | 472 | 0.4759 | 0.7799 |
|
| 98 |
+
| 0.5073 | 42.93 | 483 | 0.4370 | 0.7987 |
|
| 99 |
+
| 0.5073 | 44.0 | 495 | 0.4352 | 0.7987 |
|
| 100 |
+
| 0.3489 | 44.98 | 506 | 0.4422 | 0.7987 |
|
| 101 |
+
| 0.3489 | 45.96 | 517 | 0.4154 | 0.8050 |
|
| 102 |
+
| 0.3489 | 46.93 | 528 | 0.4131 | 0.8050 |
|
| 103 |
+
| 0.3489 | 48.0 | 540 | 0.3976 | 0.8113 |
|
| 104 |
+
| 0.2962 | 48.98 | 551 | 0.3940 | 0.8113 |
|
| 105 |
+
| 0.2962 | 49.96 | 562 | 0.3715 | 0.8239 |
|
| 106 |
+
| 0.2962 | 50.93 | 573 | 0.3495 | 0.8428 |
|
| 107 |
+
| 0.2962 | 52.0 | 585 | 0.3481 | 0.8365 |
|
| 108 |
+
| 0.2962 | 52.98 | 596 | 0.3817 | 0.8176 |
|
| 109 |
+
| 0.2573 | 53.96 | 607 | 0.3412 | 0.8491 |
|
| 110 |
+
| 0.2573 | 54.93 | 618 | 0.3293 | 0.8491 |
|
| 111 |
+
| 0.2573 | 56.0 | 630 | 0.3548 | 0.8428 |
|
| 112 |
+
| 0.2573 | 56.98 | 641 | 0.3044 | 0.8428 |
|
| 113 |
+
| 0.2279 | 57.96 | 652 | 0.3235 | 0.8491 |
|
| 114 |
+
| 0.2279 | 58.93 | 663 | 0.3371 | 0.8491 |
|
| 115 |
+
| 0.2279 | 60.0 | 675 | 0.3128 | 0.8491 |
|
| 116 |
+
| 0.2279 | 60.98 | 686 | 0.3211 | 0.8553 |
|
| 117 |
+
| 0.2279 | 61.96 | 697 | 0.3030 | 0.8616 |
|
| 118 |
+
| 0.2167 | 62.93 | 708 | 0.2970 | 0.8616 |
|
| 119 |
+
| 0.2167 | 64.0 | 720 | 0.2995 | 0.8679 |
|
| 120 |
+
| 0.2167 | 64.98 | 731 | 0.2867 | 0.8742 |
|
| 121 |
+
| 0.2167 | 65.96 | 742 | 0.2636 | 0.8931 |
|
| 122 |
+
| 0.207 | 66.93 | 753 | 0.2848 | 0.8805 |
|
| 123 |
+
| 0.207 | 68.0 | 765 | 0.2751 | 0.8868 |
|
| 124 |
+
| 0.207 | 68.98 | 776 | 0.2564 | 0.8931 |
|
| 125 |
+
| 0.207 | 69.96 | 787 | 0.2544 | 0.8931 |
|
| 126 |
+
| 0.207 | 70.93 | 798 | 0.2954 | 0.8742 |
|
| 127 |
+
| 0.1899 | 72.0 | 810 | 0.2517 | 0.8931 |
|
| 128 |
+
| 0.1899 | 72.98 | 821 | 0.2506 | 0.8931 |
|
| 129 |
+
| 0.1899 | 73.96 | 832 | 0.2434 | 0.8931 |
|
| 130 |
+
| 0.1899 | 74.93 | 843 | 0.2383 | 0.8994 |
|
| 131 |
+
| 0.1801 | 76.0 | 855 | 0.2346 | 0.8994 |
|
| 132 |
+
| 0.1801 | 76.98 | 866 | 0.2298 | 0.8994 |
|
| 133 |
+
| 0.1801 | 77.96 | 877 | 0.2404 | 0.9057 |
|
| 134 |
+
| 0.1801 | 78.93 | 888 | 0.2674 | 0.8931 |
|
| 135 |
+
| 0.1692 | 80.0 | 900 | 0.2232 | 0.8994 |
|
| 136 |
+
| 0.1692 | 80.98 | 911 | 0.2390 | 0.8994 |
|
| 137 |
+
| 0.1692 | 81.96 | 922 | 0.2058 | 0.8931 |
|
| 138 |
+
| 0.1692 | 82.93 | 933 | 0.2114 | 0.9057 |
|
| 139 |
+
| 0.1692 | 84.0 | 945 | 0.2483 | 0.8994 |
|
| 140 |
+
| 0.1691 | 84.98 | 956 | 0.2259 | 0.9119 |
|
| 141 |
+
| 0.1691 | 85.96 | 967 | 0.2024 | 0.9119 |
|
| 142 |
+
| 0.1691 | 86.93 | 978 | 0.2019 | 0.8994 |
|
| 143 |
+
| 0.1691 | 88.0 | 990 | 0.1963 | 0.9245 |
|
| 144 |
+
| 0.1609 | 88.98 | 1001 | 0.2158 | 0.9119 |
|
| 145 |
+
| 0.1609 | 89.96 | 1012 | 0.1977 | 0.9119 |
|
| 146 |
+
| 0.1609 | 90.93 | 1023 | 0.1979 | 0.9182 |
|
| 147 |
+
| 0.1609 | 92.0 | 1035 | 0.2036 | 0.9119 |
|
| 148 |
+
| 0.1609 | 92.98 | 1046 | 0.1977 | 0.9245 |
|
| 149 |
+
| 0.1516 | 93.96 | 1057 | 0.1974 | 0.9182 |
|
| 150 |
+
| 0.1516 | 94.93 | 1068 | 0.1994 | 0.9245 |
|
| 151 |
+
| 0.1516 | 96.0 | 1080 | 0.1955 | 0.9119 |
|
| 152 |
+
| 0.1516 | 96.98 | 1091 | 0.1948 | 0.9119 |
|
| 153 |
+
| 0.1386 | 97.96 | 1102 | 0.1946 | 0.9245 |
|
| 154 |
+
| 0.1386 | 98.93 | 1113 | 0.1932 | 0.9245 |
|
| 155 |
+
| 0.1386 | 100.0 | 1125 | 0.1842 | 0.9371 |
|
| 156 |
+
| 0.1386 | 100.98 | 1136 | 0.1884 | 0.9308 |
|
| 157 |
+
| 0.1386 | 101.96 | 1147 | 0.1900 | 0.9371 |
|
| 158 |
+
| 0.1279 | 102.93 | 1158 | 0.1841 | 0.9308 |
|
| 159 |
+
| 0.1279 | 104.0 | 1170 | 0.1921 | 0.9245 |
|
| 160 |
+
| 0.1279 | 104.98 | 1181 | 0.1993 | 0.9245 |
|
| 161 |
+
| 0.1279 | 105.96 | 1192 | 0.1946 | 0.9308 |
|
| 162 |
+
| 0.1258 | 106.93 | 1203 | 0.1896 | 0.9308 |
|
| 163 |
+
| 0.1258 | 108.0 | 1215 | 0.1884 | 0.9308 |
|
| 164 |
+
| 0.1258 | 108.98 | 1226 | 0.1794 | 0.9434 |
|
| 165 |
+
| 0.1258 | 109.96 | 1237 | 0.1859 | 0.9245 |
|
| 166 |
+
| 0.1258 | 110.93 | 1248 | 0.2195 | 0.9119 |
|
| 167 |
+
| 0.1258 | 112.0 | 1260 | 0.2083 | 0.9182 |
|
| 168 |
+
| 0.1258 | 112.98 | 1271 | 0.2120 | 0.9245 |
|
| 169 |
+
| 0.1258 | 113.96 | 1282 | 0.2066 | 0.9308 |
|
| 170 |
+
| 0.1258 | 114.93 | 1293 | 0.1931 | 0.9308 |
|
| 171 |
+
| 0.1023 | 116.0 | 1305 | 0.1900 | 0.9308 |
|
| 172 |
+
| 0.1023 | 116.98 | 1316 | 0.2029 | 0.9308 |
|
| 173 |
+
| 0.1023 | 117.96 | 1327 | 0.1951 | 0.9245 |
|
| 174 |
+
| 0.1023 | 118.93 | 1338 | 0.2084 | 0.9119 |
|
| 175 |
+
| 0.0997 | 120.0 | 1350 | 0.2159 | 0.9245 |
|
| 176 |
+
| 0.0997 | 120.98 | 1361 | 0.2166 | 0.9245 |
|
| 177 |
+
| 0.0997 | 121.96 | 1372 | 0.1973 | 0.9308 |
|
| 178 |
+
| 0.0997 | 122.93 | 1383 | 0.1851 | 0.9245 |
|
| 179 |
+
| 0.0997 | 124.0 | 1395 | 0.2067 | 0.9245 |
|
| 180 |
+
| 0.1021 | 124.98 | 1406 | 0.1953 | 0.9245 |
|
| 181 |
+
| 0.1021 | 125.96 | 1417 | 0.1765 | 0.9434 |
|
| 182 |
+
| 0.1021 | 126.93 | 1428 | 0.1878 | 0.9308 |
|
| 183 |
+
| 0.1021 | 128.0 | 1440 | 0.2071 | 0.9245 |
|
| 184 |
+
| 0.0883 | 128.98 | 1451 | 0.2241 | 0.9182 |
|
| 185 |
+
| 0.0883 | 129.96 | 1462 | 0.2348 | 0.9119 |
|
| 186 |
+
| 0.0883 | 130.93 | 1473 | 0.2475 | 0.9057 |
|
| 187 |
+
| 0.0883 | 132.0 | 1485 | 0.2160 | 0.9182 |
|
| 188 |
+
| 0.0883 | 132.98 | 1496 | 0.2090 | 0.9308 |
|
| 189 |
+
| 0.0769 | 133.96 | 1507 | 0.2147 | 0.9245 |
|
| 190 |
+
| 0.0769 | 134.93 | 1518 | 0.2201 | 0.9245 |
|
| 191 |
+
| 0.0769 | 136.0 | 1530 | 0.2372 | 0.9182 |
|
| 192 |
+
| 0.0769 | 136.98 | 1541 | 0.2199 | 0.9182 |
|
| 193 |
+
| 0.0786 | 137.96 | 1552 | 0.2087 | 0.9182 |
|
| 194 |
+
| 0.0786 | 138.93 | 1563 | 0.1878 | 0.9308 |
|
| 195 |
+
| 0.0786 | 140.0 | 1575 | 0.1915 | 0.9371 |
|
| 196 |
+
| 0.0786 | 140.98 | 1586 | 0.2317 | 0.9245 |
|
| 197 |
+
| 0.0786 | 141.96 | 1597 | 0.2865 | 0.8931 |
|
| 198 |
+
| 0.0714 | 142.93 | 1608 | 0.2300 | 0.9245 |
|
| 199 |
+
| 0.0714 | 144.0 | 1620 | 0.2727 | 0.9057 |
|
| 200 |
+
| 0.0714 | 144.98 | 1631 | 0.2811 | 0.9057 |
|
| 201 |
+
| 0.0714 | 145.96 | 1642 | 0.2101 | 0.9371 |
|
| 202 |
+
| 0.0702 | 146.93 | 1653 | 0.2036 | 0.9308 |
|
| 203 |
+
| 0.0702 | 148.0 | 1665 | 0.2215 | 0.9371 |
|
| 204 |
+
| 0.0702 | 148.98 | 1676 | 0.2136 | 0.9182 |
|
| 205 |
+
| 0.0702 | 149.96 | 1687 | 0.2056 | 0.9434 |
|
| 206 |
+
| 0.0702 | 150.93 | 1698 | 0.2003 | 0.9371 |
|
| 207 |
+
| 0.0676 | 152.0 | 1710 | 0.2250 | 0.9308 |
|
| 208 |
+
| 0.0676 | 152.98 | 1721 | 0.1911 | 0.9560 |
|
| 209 |
+
| 0.0676 | 153.96 | 1732 | 0.2190 | 0.9245 |
|
| 210 |
+
| 0.0676 | 154.93 | 1743 | 0.1976 | 0.9308 |
|
| 211 |
+
| 0.0674 | 156.0 | 1755 | 0.1874 | 0.9497 |
|
| 212 |
+
| 0.0674 | 156.98 | 1766 | 0.2023 | 0.9371 |
|
| 213 |
+
| 0.0674 | 157.96 | 1777 | 0.2153 | 0.9497 |
|
| 214 |
+
| 0.0674 | 158.93 | 1788 | 0.2245 | 0.9434 |
|
| 215 |
+
| 0.0548 | 160.0 | 1800 | 0.2432 | 0.9245 |
|
| 216 |
+
| 0.0548 | 160.98 | 1811 | 0.2071 | 0.9434 |
|
| 217 |
+
| 0.0548 | 161.96 | 1822 | 0.1837 | 0.9497 |
|
| 218 |
+
| 0.0548 | 162.93 | 1833 | 0.1916 | 0.9497 |
|
| 219 |
+
| 0.0548 | 164.0 | 1845 | 0.2221 | 0.9497 |
|
| 220 |
+
| 0.0616 | 164.98 | 1856 | 0.2120 | 0.9497 |
|
| 221 |
+
| 0.0616 | 165.96 | 1867 | 0.1888 | 0.9560 |
|
| 222 |
+
| 0.0616 | 166.93 | 1878 | 0.1971 | 0.9497 |
|
| 223 |
+
| 0.0616 | 168.0 | 1890 | 0.2161 | 0.9434 |
|
| 224 |
+
| 0.0467 | 168.98 | 1901 | 0.2282 | 0.9371 |
|
| 225 |
+
| 0.0467 | 169.96 | 1912 | 0.3118 | 0.9057 |
|
| 226 |
+
| 0.0467 | 170.93 | 1923 | 0.2319 | 0.9497 |
|
| 227 |
+
| 0.0467 | 172.0 | 1935 | 0.2740 | 0.9308 |
|
| 228 |
+
| 0.0467 | 172.98 | 1946 | 0.2666 | 0.9308 |
|
| 229 |
+
| 0.0609 | 173.96 | 1957 | 0.2315 | 0.9434 |
|
| 230 |
+
| 0.0609 | 174.93 | 1968 | 0.2229 | 0.9371 |
|
| 231 |
+
| 0.0609 | 176.0 | 1980 | 0.2158 | 0.9434 |
|
| 232 |
+
| 0.0609 | 176.98 | 1991 | 0.2226 | 0.9434 |
|
| 233 |
+
| 0.0522 | 177.96 | 2002 | 0.2224 | 0.9308 |
|
| 234 |
+
| 0.0522 | 178.93 | 2013 | 0.2138 | 0.9434 |
|
| 235 |
+
| 0.0522 | 180.0 | 2025 | 0.2177 | 0.9371 |
|
| 236 |
+
| 0.0522 | 180.98 | 2036 | 0.1917 | 0.9434 |
|
| 237 |
+
| 0.0522 | 181.96 | 2047 | 0.1974 | 0.9560 |
|
| 238 |
+
| 0.0515 | 182.93 | 2058 | 0.2198 | 0.9497 |
|
| 239 |
+
| 0.0515 | 184.0 | 2070 | 0.2425 | 0.9245 |
|
| 240 |
+
| 0.0515 | 184.98 | 2081 | 0.2449 | 0.9308 |
|
| 241 |
+
| 0.0515 | 185.96 | 2092 | 0.2346 | 0.9308 |
|
| 242 |
+
| 0.045 | 186.93 | 2103 | 0.2331 | 0.9434 |
|
| 243 |
+
| 0.045 | 188.0 | 2115 | 0.2661 | 0.9371 |
|
| 244 |
+
| 0.045 | 188.98 | 2126 | 0.2291 | 0.9371 |
|
| 245 |
+
| 0.045 | 189.96 | 2137 | 0.2348 | 0.9371 |
|
| 246 |
+
| 0.045 | 190.93 | 2148 | 0.2309 | 0.9434 |
|
| 247 |
+
| 0.0403 | 192.0 | 2160 | 0.2789 | 0.9245 |
|
| 248 |
+
| 0.0403 | 192.98 | 2171 | 0.2540 | 0.9308 |
|
| 249 |
+
| 0.0403 | 193.96 | 2182 | 0.2372 | 0.9371 |
|
| 250 |
+
| 0.0403 | 194.93 | 2193 | 0.2508 | 0.9308 |
|
| 251 |
+
| 0.0476 | 196.0 | 2205 | 0.2194 | 0.9497 |
|
| 252 |
+
| 0.0476 | 196.98 | 2216 | 0.2307 | 0.9371 |
|
| 253 |
+
| 0.0476 | 197.96 | 2227 | 0.2719 | 0.9308 |
|
| 254 |
+
| 0.0476 | 198.93 | 2238 | 0.2804 | 0.9245 |
|
| 255 |
+
| 0.0457 | 200.0 | 2250 | 0.2755 | 0.9308 |
|
| 256 |
+
| 0.0457 | 200.98 | 2261 | 0.2353 | 0.9308 |
|
| 257 |
+
| 0.0457 | 201.96 | 2272 | 0.2189 | 0.9371 |
|
| 258 |
+
| 0.0457 | 202.93 | 2283 | 0.2163 | 0.9371 |
|
| 259 |
+
| 0.0457 | 204.0 | 2295 | 0.2110 | 0.9497 |
|
| 260 |
+
| 0.0393 | 204.98 | 2306 | 0.2316 | 0.9434 |
|
| 261 |
+
| 0.0393 | 205.96 | 2317 | 0.2465 | 0.9308 |
|
| 262 |
+
| 0.0393 | 206.93 | 2328 | 0.2376 | 0.9434 |
|
| 263 |
+
| 0.0393 | 208.0 | 2340 | 0.2171 | 0.9434 |
|
| 264 |
+
| 0.0443 | 208.98 | 2351 | 0.2395 | 0.9497 |
|
| 265 |
+
| 0.0443 | 209.96 | 2362 | 0.2906 | 0.8931 |
|
| 266 |
+
| 0.0443 | 210.93 | 2373 | 0.2608 | 0.9371 |
|
| 267 |
+
| 0.0443 | 212.0 | 2385 | 0.2321 | 0.9497 |
|
| 268 |
+
| 0.0443 | 212.98 | 2396 | 0.2464 | 0.9371 |
|
| 269 |
+
| 0.0539 | 213.96 | 2407 | 0.2442 | 0.9182 |
|
| 270 |
+
| 0.0539 | 214.93 | 2418 | 0.2512 | 0.9245 |
|
| 271 |
+
| 0.0539 | 216.0 | 2430 | 0.2265 | 0.9371 |
|
| 272 |
+
| 0.0539 | 216.98 | 2441 | 0.2127 | 0.9371 |
|
| 273 |
+
| 0.0415 | 217.96 | 2452 | 0.2844 | 0.9371 |
|
| 274 |
+
| 0.0415 | 218.93 | 2463 | 0.2489 | 0.9434 |
|
| 275 |
+
| 0.0415 | 220.0 | 2475 | 0.2120 | 0.9497 |
|
| 276 |
+
| 0.0415 | 220.98 | 2486 | 0.2015 | 0.9560 |
|
| 277 |
+
| 0.0415 | 221.96 | 2497 | 0.2510 | 0.9245 |
|
| 278 |
+
| 0.0325 | 222.93 | 2508 | 0.2875 | 0.9371 |
|
| 279 |
+
| 0.0325 | 224.0 | 2520 | 0.1994 | 0.9623 |
|
| 280 |
+
| 0.0325 | 224.98 | 2531 | 0.2033 | 0.9623 |
|
| 281 |
+
| 0.0325 | 225.96 | 2542 | 0.2391 | 0.9497 |
|
| 282 |
+
| 0.0249 | 226.93 | 2553 | 0.3044 | 0.9182 |
|
| 283 |
+
| 0.0249 | 228.0 | 2565 | 0.2825 | 0.9371 |
|
| 284 |
+
| 0.0249 | 228.98 | 2576 | 0.2347 | 0.9497 |
|
| 285 |
+
| 0.0249 | 229.96 | 2587 | 0.2405 | 0.9497 |
|
| 286 |
+
| 0.0249 | 230.93 | 2598 | 0.2537 | 0.9497 |
|
| 287 |
+
| 0.0358 | 232.0 | 2610 | 0.2709 | 0.9371 |
|
| 288 |
+
| 0.0358 | 232.98 | 2621 | 0.2445 | 0.9497 |
|
| 289 |
+
| 0.0358 | 233.96 | 2632 | 0.2436 | 0.9371 |
|
| 290 |
+
| 0.0358 | 234.93 | 2643 | 0.2227 | 0.9434 |
|
| 291 |
+
| 0.0345 | 236.0 | 2655 | 0.2208 | 0.9497 |
|
| 292 |
+
| 0.0345 | 236.98 | 2666 | 0.2293 | 0.9434 |
|
| 293 |
+
| 0.0345 | 237.96 | 2677 | 0.2160 | 0.9497 |
|
| 294 |
+
| 0.0345 | 238.93 | 2688 | 0.2086 | 0.9434 |
|
| 295 |
+
| 0.0339 | 240.0 | 2700 | 0.2640 | 0.9182 |
|
| 296 |
+
| 0.0339 | 240.98 | 2711 | 0.2954 | 0.9371 |
|
| 297 |
+
| 0.0339 | 241.96 | 2722 | 0.2507 | 0.9434 |
|
| 298 |
+
| 0.0339 | 242.93 | 2733 | 0.2273 | 0.9434 |
|
| 299 |
+
| 0.0339 | 244.0 | 2745 | 0.2422 | 0.9371 |
|
| 300 |
+
| 0.0309 | 244.98 | 2756 | 0.2931 | 0.9371 |
|
| 301 |
+
| 0.0309 | 245.96 | 2767 | 0.2695 | 0.9371 |
|
| 302 |
+
| 0.0309 | 246.93 | 2778 | 0.2646 | 0.9434 |
|
| 303 |
+
| 0.0309 | 248.0 | 2790 | 0.2315 | 0.9434 |
|
| 304 |
+
| 0.0301 | 248.98 | 2801 | 0.2270 | 0.9434 |
|
| 305 |
+
| 0.0301 | 249.96 | 2812 | 0.2447 | 0.9434 |
|
| 306 |
+
| 0.0301 | 250.93 | 2823 | 0.2586 | 0.9371 |
|
| 307 |
+
| 0.0301 | 252.0 | 2835 | 0.3039 | 0.9245 |
|
| 308 |
+
| 0.0301 | 252.98 | 2846 | 0.2777 | 0.9182 |
|
| 309 |
+
| 0.0335 | 253.96 | 2857 | 0.2566 | 0.9371 |
|
| 310 |
+
| 0.0335 | 254.93 | 2868 | 0.2603 | 0.9308 |
|
| 311 |
+
| 0.0335 | 256.0 | 2880 | 0.2699 | 0.9371 |
|
| 312 |
+
| 0.0335 | 256.98 | 2891 | 0.2838 | 0.9371 |
|
| 313 |
+
| 0.0249 | 257.96 | 2902 | 0.2573 | 0.9371 |
|
| 314 |
+
| 0.0249 | 258.93 | 2913 | 0.2652 | 0.9371 |
|
| 315 |
+
| 0.0249 | 260.0 | 2925 | 0.2622 | 0.9434 |
|
| 316 |
+
| 0.0249 | 260.98 | 2936 | 0.2583 | 0.9371 |
|
| 317 |
+
| 0.0249 | 261.96 | 2947 | 0.2324 | 0.9497 |
|
| 318 |
+
| 0.0308 | 262.93 | 2958 | 0.2782 | 0.9371 |
|
| 319 |
+
| 0.0308 | 264.0 | 2970 | 0.2519 | 0.9434 |
|
| 320 |
+
| 0.0308 | 264.98 | 2981 | 0.2634 | 0.9371 |
|
| 321 |
+
| 0.0308 | 265.96 | 2992 | 0.2647 | 0.9434 |
|
| 322 |
+
| 0.0282 | 266.93 | 3003 | 0.2588 | 0.9434 |
|
| 323 |
+
| 0.0282 | 268.0 | 3015 | 0.2315 | 0.9371 |
|
| 324 |
+
| 0.0282 | 268.98 | 3026 | 0.2293 | 0.9371 |
|
| 325 |
+
| 0.0282 | 269.96 | 3037 | 0.2375 | 0.9371 |
|
| 326 |
+
| 0.0282 | 270.93 | 3048 | 0.2439 | 0.9371 |
|
| 327 |
+
| 0.0347 | 272.0 | 3060 | 0.2542 | 0.9434 |
|
| 328 |
+
| 0.0347 | 272.98 | 3071 | 0.2402 | 0.9371 |
|
| 329 |
+
| 0.0347 | 273.96 | 3082 | 0.2365 | 0.9371 |
|
| 330 |
+
| 0.0347 | 274.93 | 3093 | 0.2757 | 0.9371 |
|
| 331 |
+
| 0.0211 | 276.0 | 3105 | 0.2508 | 0.9308 |
|
| 332 |
+
| 0.0211 | 276.98 | 3116 | 0.2395 | 0.9497 |
|
| 333 |
+
| 0.0211 | 277.96 | 3127 | 0.2536 | 0.9371 |
|
| 334 |
+
| 0.0211 | 278.93 | 3138 | 0.2685 | 0.9245 |
|
| 335 |
+
| 0.0248 | 280.0 | 3150 | 0.2975 | 0.9182 |
|
| 336 |
+
| 0.0248 | 280.98 | 3161 | 0.3234 | 0.9182 |
|
| 337 |
+
| 0.0248 | 281.96 | 3172 | 0.2707 | 0.9434 |
|
| 338 |
+
| 0.0248 | 282.93 | 3183 | 0.2250 | 0.9560 |
|
| 339 |
+
| 0.0248 | 284.0 | 3195 | 0.2319 | 0.9560 |
|
| 340 |
+
| 0.0243 | 284.98 | 3206 | 0.2525 | 0.9434 |
|
| 341 |
+
| 0.0243 | 285.96 | 3217 | 0.2661 | 0.9434 |
|
| 342 |
+
| 0.0243 | 286.93 | 3228 | 0.2844 | 0.9245 |
|
| 343 |
+
| 0.0243 | 288.0 | 3240 | 0.2571 | 0.9434 |
|
| 344 |
+
| 0.0223 | 288.98 | 3251 | 0.2517 | 0.9434 |
|
| 345 |
+
| 0.0223 | 289.96 | 3262 | 0.2636 | 0.9308 |
|
| 346 |
+
| 0.0223 | 290.93 | 3273 | 0.2694 | 0.9245 |
|
| 347 |
+
| 0.0223 | 292.0 | 3285 | 0.2306 | 0.9497 |
|
| 348 |
+
| 0.0223 | 292.98 | 3296 | 0.2377 | 0.9434 |
|
| 349 |
+
| 0.0234 | 293.96 | 3307 | 0.2698 | 0.9434 |
|
| 350 |
+
| 0.0234 | 294.93 | 3318 | 0.2839 | 0.9371 |
|
| 351 |
+
| 0.0234 | 296.0 | 3330 | 0.2502 | 0.9497 |
|
| 352 |
+
| 0.0234 | 296.98 | 3341 | 0.2704 | 0.9434 |
|
| 353 |
+
| 0.0256 | 297.96 | 3352 | 0.2879 | 0.9308 |
|
| 354 |
+
| 0.0256 | 298.93 | 3363 | 0.3078 | 0.9308 |
|
| 355 |
+
| 0.0256 | 300.0 | 3375 | 0.3160 | 0.9308 |
|
| 356 |
+
| 0.0256 | 300.98 | 3386 | 0.2706 | 0.9371 |
|
| 357 |
+
| 0.0256 | 301.96 | 3397 | 0.2504 | 0.9497 |
|
| 358 |
+
| 0.0224 | 302.93 | 3408 | 0.2454 | 0.9560 |
|
| 359 |
+
| 0.0224 | 304.0 | 3420 | 0.2480 | 0.9560 |
|
| 360 |
+
| 0.0224 | 304.98 | 3431 | 0.2511 | 0.9497 |
|
| 361 |
+
| 0.0224 | 305.96 | 3442 | 0.2796 | 0.9434 |
|
| 362 |
+
| 0.0155 | 306.93 | 3453 | 0.2932 | 0.9371 |
|
| 363 |
+
| 0.0155 | 308.0 | 3465 | 0.2997 | 0.9245 |
|
| 364 |
+
| 0.0155 | 308.98 | 3476 | 0.3044 | 0.9245 |
|
| 365 |
+
| 0.0155 | 309.96 | 3487 | 0.3256 | 0.9308 |
|
| 366 |
+
| 0.0155 | 310.93 | 3498 | 0.3401 | 0.9371 |
|
| 367 |
+
| 0.0226 | 312.0 | 3510 | 0.3068 | 0.9182 |
|
| 368 |
+
| 0.0226 | 312.98 | 3521 | 0.3017 | 0.9182 |
|
| 369 |
+
| 0.0226 | 313.96 | 3532 | 0.2941 | 0.9119 |
|
| 370 |
+
| 0.0226 | 314.93 | 3543 | 0.2840 | 0.9308 |
|
| 371 |
+
| 0.0153 | 316.0 | 3555 | 0.2900 | 0.9245 |
|
| 372 |
+
| 0.0153 | 316.98 | 3566 | 0.2923 | 0.9308 |
|
| 373 |
+
| 0.0153 | 317.96 | 3577 | 0.2965 | 0.9308 |
|
| 374 |
+
| 0.0153 | 318.93 | 3588 | 0.3202 | 0.9371 |
|
| 375 |
+
| 0.0183 | 320.0 | 3600 | 0.3325 | 0.9119 |
|
| 376 |
+
| 0.0183 | 320.98 | 3611 | 0.3441 | 0.9182 |
|
| 377 |
+
| 0.0183 | 321.96 | 3622 | 0.3004 | 0.9308 |
|
| 378 |
+
| 0.0183 | 322.93 | 3633 | 0.3022 | 0.9434 |
|
| 379 |
+
| 0.0183 | 324.0 | 3645 | 0.2958 | 0.9308 |
|
| 380 |
+
| 0.0257 | 324.98 | 3656 | 0.2943 | 0.9371 |
|
| 381 |
+
| 0.0257 | 325.96 | 3667 | 0.2945 | 0.9308 |
|
| 382 |
+
| 0.0257 | 326.93 | 3678 | 0.2910 | 0.9245 |
|
| 383 |
+
| 0.0257 | 328.0 | 3690 | 0.2856 | 0.9245 |
|
| 384 |
+
| 0.0164 | 328.98 | 3701 | 0.2580 | 0.9434 |
|
| 385 |
+
| 0.0164 | 329.96 | 3712 | 0.2566 | 0.9371 |
|
| 386 |
+
| 0.0164 | 330.93 | 3723 | 0.2538 | 0.9371 |
|
| 387 |
+
| 0.0164 | 332.0 | 3735 | 0.2448 | 0.9497 |
|
| 388 |
+
| 0.0164 | 332.98 | 3746 | 0.2544 | 0.9497 |
|
| 389 |
+
| 0.0222 | 333.96 | 3757 | 0.3075 | 0.9245 |
|
| 390 |
+
| 0.0222 | 334.93 | 3768 | 0.2757 | 0.9245 |
|
| 391 |
+
| 0.0222 | 336.0 | 3780 | 0.2715 | 0.9371 |
|
| 392 |
+
| 0.0222 | 336.98 | 3791 | 0.3330 | 0.9308 |
|
| 393 |
+
| 0.0212 | 337.96 | 3802 | 0.3560 | 0.9371 |
|
| 394 |
+
| 0.0212 | 338.93 | 3813 | 0.2832 | 0.9371 |
|
| 395 |
+
| 0.0212 | 340.0 | 3825 | 0.2855 | 0.9308 |
|
| 396 |
+
| 0.0212 | 340.98 | 3836 | 0.3063 | 0.9308 |
|
| 397 |
+
| 0.0212 | 341.96 | 3847 | 0.2915 | 0.9308 |
|
| 398 |
+
| 0.016 | 342.93 | 3858 | 0.2836 | 0.9434 |
|
| 399 |
+
| 0.016 | 344.0 | 3870 | 0.2805 | 0.9371 |
|
| 400 |
+
| 0.016 | 344.98 | 3881 | 0.2678 | 0.9497 |
|
| 401 |
+
| 0.016 | 345.96 | 3892 | 0.2840 | 0.9371 |
|
| 402 |
+
| 0.0163 | 346.93 | 3903 | 0.3048 | 0.9308 |
|
| 403 |
+
| 0.0163 | 348.0 | 3915 | 0.2761 | 0.9434 |
|
| 404 |
+
| 0.0163 | 348.98 | 3926 | 0.3045 | 0.9371 |
|
| 405 |
+
| 0.0163 | 349.96 | 3937 | 0.2673 | 0.9371 |
|
| 406 |
+
| 0.0163 | 350.93 | 3948 | 0.2830 | 0.9308 |
|
| 407 |
+
| 0.0185 | 352.0 | 3960 | 0.3150 | 0.9308 |
|
| 408 |
+
| 0.0185 | 352.98 | 3971 | 0.2967 | 0.9308 |
|
| 409 |
+
| 0.0185 | 353.96 | 3982 | 0.2918 | 0.9308 |
|
| 410 |
+
| 0.0185 | 354.93 | 3993 | 0.2849 | 0.9371 |
|
| 411 |
+
| 0.0189 | 356.0 | 4005 | 0.2804 | 0.9371 |
|
| 412 |
+
| 0.0189 | 356.98 | 4016 | 0.2909 | 0.9371 |
|
| 413 |
+
| 0.0189 | 357.96 | 4027 | 0.3030 | 0.9308 |
|
| 414 |
+
| 0.0189 | 358.93 | 4038 | 0.3163 | 0.9308 |
|
| 415 |
+
| 0.0153 | 360.0 | 4050 | 0.3217 | 0.9245 |
|
| 416 |
+
| 0.0153 | 360.98 | 4061 | 0.3025 | 0.9434 |
|
| 417 |
+
| 0.0153 | 361.96 | 4072 | 0.2974 | 0.9371 |
|
| 418 |
+
| 0.0153 | 362.93 | 4083 | 0.2866 | 0.9497 |
|
| 419 |
+
| 0.0153 | 364.0 | 4095 | 0.3246 | 0.9308 |
|
| 420 |
+
| 0.0169 | 364.98 | 4106 | 0.2801 | 0.9434 |
|
| 421 |
+
| 0.0169 | 365.96 | 4117 | 0.3133 | 0.9371 |
|
| 422 |
+
| 0.0169 | 366.93 | 4128 | 0.3284 | 0.9245 |
|
| 423 |
+
| 0.0169 | 368.0 | 4140 | 0.2717 | 0.9371 |
|
| 424 |
+
| 0.0207 | 368.98 | 4151 | 0.2692 | 0.9497 |
|
| 425 |
+
| 0.0207 | 369.96 | 4162 | 0.2674 | 0.9434 |
|
| 426 |
+
| 0.0207 | 370.93 | 4173 | 0.2643 | 0.9371 |
|
| 427 |
+
| 0.0207 | 372.0 | 4185 | 0.2970 | 0.9434 |
|
| 428 |
+
| 0.0207 | 372.98 | 4196 | 0.2688 | 0.9434 |
|
| 429 |
+
| 0.0213 | 373.96 | 4207 | 0.2765 | 0.9371 |
|
| 430 |
+
| 0.0213 | 374.93 | 4218 | 0.2870 | 0.9371 |
|
| 431 |
+
| 0.0213 | 376.0 | 4230 | 0.3006 | 0.9371 |
|
| 432 |
+
| 0.0213 | 376.98 | 4241 | 0.2944 | 0.9434 |
|
| 433 |
+
| 0.02 | 377.96 | 4252 | 0.3020 | 0.9371 |
|
| 434 |
+
| 0.02 | 378.93 | 4263 | 0.3074 | 0.9371 |
|
| 435 |
+
| 0.02 | 380.0 | 4275 | 0.2943 | 0.9434 |
|
| 436 |
+
| 0.02 | 380.98 | 4286 | 0.2825 | 0.9497 |
|
| 437 |
+
| 0.02 | 381.96 | 4297 | 0.2761 | 0.9434 |
|
| 438 |
+
| 0.0143 | 382.93 | 4308 | 0.2920 | 0.9434 |
|
| 439 |
+
| 0.0143 | 384.0 | 4320 | 0.2952 | 0.9434 |
|
| 440 |
+
| 0.0143 | 384.98 | 4331 | 0.3165 | 0.9497 |
|
| 441 |
+
| 0.0143 | 385.96 | 4342 | 0.2803 | 0.9371 |
|
| 442 |
+
| 0.0196 | 386.93 | 4353 | 0.2876 | 0.9371 |
|
| 443 |
+
| 0.0196 | 388.0 | 4365 | 0.2759 | 0.9434 |
|
| 444 |
+
| 0.0196 | 388.98 | 4376 | 0.2701 | 0.9434 |
|
| 445 |
+
| 0.0196 | 389.96 | 4387 | 0.2951 | 0.9434 |
|
| 446 |
+
| 0.0196 | 390.93 | 4398 | 0.2950 | 0.9371 |
|
| 447 |
+
| 0.0234 | 392.0 | 4410 | 0.2960 | 0.9371 |
|
| 448 |
+
| 0.0234 | 392.98 | 4421 | 0.3337 | 0.9308 |
|
| 449 |
+
| 0.0234 | 393.96 | 4432 | 0.3383 | 0.9308 |
|
| 450 |
+
| 0.0234 | 394.93 | 4443 | 0.3078 | 0.9371 |
|
| 451 |
+
| 0.0161 | 396.0 | 4455 | 0.3139 | 0.9371 |
|
| 452 |
+
| 0.0161 | 396.98 | 4466 | 0.3188 | 0.9308 |
|
| 453 |
+
| 0.0161 | 397.96 | 4477 | 0.3307 | 0.9308 |
|
| 454 |
+
| 0.0161 | 398.93 | 4488 | 0.3163 | 0.9308 |
|
| 455 |
+
| 0.0162 | 400.0 | 4500 | 0.3018 | 0.9434 |
|
| 456 |
+
| 0.0162 | 400.98 | 4511 | 0.2813 | 0.9371 |
|
| 457 |
+
| 0.0162 | 401.96 | 4522 | 0.3019 | 0.9371 |
|
| 458 |
+
| 0.0162 | 402.93 | 4533 | 0.2810 | 0.9434 |
|
| 459 |
+
| 0.0162 | 404.0 | 4545 | 0.2746 | 0.9371 |
|
| 460 |
+
| 0.023 | 404.98 | 4556 | 0.2851 | 0.9371 |
|
| 461 |
+
| 0.023 | 405.96 | 4567 | 0.3158 | 0.9245 |
|
| 462 |
+
| 0.023 | 406.93 | 4578 | 0.3467 | 0.9119 |
|
| 463 |
+
| 0.023 | 408.0 | 4590 | 0.3496 | 0.9182 |
|
| 464 |
+
| 0.0164 | 408.98 | 4601 | 0.3324 | 0.9245 |
|
| 465 |
+
| 0.0164 | 409.96 | 4612 | 0.3246 | 0.9371 |
|
| 466 |
+
| 0.0164 | 410.93 | 4623 | 0.3765 | 0.9308 |
|
| 467 |
+
| 0.0164 | 412.0 | 4635 | 0.3543 | 0.9245 |
|
| 468 |
+
| 0.0164 | 412.98 | 4646 | 0.3280 | 0.9245 |
|
| 469 |
+
| 0.0189 | 413.96 | 4657 | 0.3075 | 0.9371 |
|
| 470 |
+
| 0.0189 | 414.93 | 4668 | 0.3013 | 0.9371 |
|
| 471 |
+
| 0.0189 | 416.0 | 4680 | 0.3048 | 0.9308 |
|
| 472 |
+
| 0.0189 | 416.98 | 4691 | 0.2975 | 0.9434 |
|
| 473 |
+
| 0.018 | 417.96 | 4702 | 0.3011 | 0.9371 |
|
| 474 |
+
| 0.018 | 418.93 | 4713 | 0.3059 | 0.9434 |
|
| 475 |
+
| 0.018 | 420.0 | 4725 | 0.3003 | 0.9371 |
|
| 476 |
+
| 0.018 | 420.98 | 4736 | 0.2899 | 0.9308 |
|
| 477 |
+
| 0.018 | 421.96 | 4747 | 0.2739 | 0.9434 |
|
| 478 |
+
| 0.014 | 422.93 | 4758 | 0.2823 | 0.9308 |
|
| 479 |
+
| 0.014 | 424.0 | 4770 | 0.3002 | 0.9434 |
|
| 480 |
+
| 0.014 | 424.98 | 4781 | 0.3104 | 0.9308 |
|
| 481 |
+
| 0.014 | 425.96 | 4792 | 0.2993 | 0.9371 |
|
| 482 |
+
| 0.0161 | 426.93 | 4803 | 0.2838 | 0.9434 |
|
| 483 |
+
| 0.0161 | 428.0 | 4815 | 0.3035 | 0.9371 |
|
| 484 |
+
| 0.0161 | 428.98 | 4826 | 0.3172 | 0.9308 |
|
| 485 |
+
| 0.0161 | 429.96 | 4837 | 0.2885 | 0.9371 |
|
| 486 |
+
| 0.0161 | 430.93 | 4848 | 0.2915 | 0.9434 |
|
| 487 |
+
| 0.0181 | 432.0 | 4860 | 0.3238 | 0.9371 |
|
| 488 |
+
| 0.0181 | 432.98 | 4871 | 0.3051 | 0.9371 |
|
| 489 |
+
| 0.0181 | 433.96 | 4882 | 0.2747 | 0.9434 |
|
| 490 |
+
| 0.0181 | 434.93 | 4893 | 0.2778 | 0.9434 |
|
| 491 |
+
| 0.0152 | 436.0 | 4905 | 0.3143 | 0.9308 |
|
| 492 |
+
| 0.0152 | 436.98 | 4916 | 0.2953 | 0.9434 |
|
| 493 |
+
| 0.0152 | 437.96 | 4927 | 0.2987 | 0.9434 |
|
| 494 |
+
| 0.0152 | 438.93 | 4938 | 0.3240 | 0.9308 |
|
| 495 |
+
| 0.0233 | 440.0 | 4950 | 0.2932 | 0.9434 |
|
| 496 |
+
| 0.0233 | 440.98 | 4961 | 0.3067 | 0.9308 |
|
| 497 |
+
| 0.0233 | 441.96 | 4972 | 0.3170 | 0.9308 |
|
| 498 |
+
| 0.0233 | 442.93 | 4983 | 0.3348 | 0.9308 |
|
| 499 |
+
| 0.0233 | 444.0 | 4995 | 0.3351 | 0.9245 |
|
| 500 |
+
| 0.0134 | 444.98 | 5006 | 0.3378 | 0.9245 |
|
| 501 |
+
| 0.0134 | 445.96 | 5017 | 0.3204 | 0.9308 |
|
| 502 |
+
| 0.0134 | 446.93 | 5028 | 0.3096 | 0.9371 |
|
| 503 |
+
| 0.0134 | 448.0 | 5040 | 0.3135 | 0.9308 |
|
| 504 |
+
| 0.0185 | 448.98 | 5051 | 0.3205 | 0.9371 |
|
| 505 |
+
| 0.0185 | 449.96 | 5062 | 0.3152 | 0.9371 |
|
| 506 |
+
| 0.0185 | 450.93 | 5073 | 0.3272 | 0.9308 |
|
| 507 |
+
| 0.0185 | 452.0 | 5085 | 0.3164 | 0.9371 |
|
| 508 |
+
| 0.0185 | 452.98 | 5096 | 0.3297 | 0.9245 |
|
| 509 |
+
| 0.0149 | 453.96 | 5107 | 0.3299 | 0.9245 |
|
| 510 |
+
| 0.0149 | 454.93 | 5118 | 0.3427 | 0.9308 |
|
| 511 |
+
| 0.0149 | 456.0 | 5130 | 0.3776 | 0.9245 |
|
| 512 |
+
| 0.0149 | 456.98 | 5141 | 0.3764 | 0.9182 |
|
| 513 |
+
| 0.0099 | 457.96 | 5152 | 0.3852 | 0.9182 |
|
| 514 |
+
| 0.0099 | 458.93 | 5163 | 0.3555 | 0.9245 |
|
| 515 |
+
| 0.0099 | 460.0 | 5175 | 0.3497 | 0.9245 |
|
| 516 |
+
| 0.0099 | 460.98 | 5186 | 0.3959 | 0.9119 |
|
| 517 |
+
| 0.0099 | 461.96 | 5197 | 0.3429 | 0.9308 |
|
| 518 |
+
| 0.0123 | 462.93 | 5208 | 0.3278 | 0.9308 |
|
| 519 |
+
| 0.0123 | 464.0 | 5220 | 0.3075 | 0.9371 |
|
| 520 |
+
| 0.0123 | 464.98 | 5231 | 0.3019 | 0.9371 |
|
| 521 |
+
| 0.0123 | 465.96 | 5242 | 0.3069 | 0.9371 |
|
| 522 |
+
| 0.0169 | 466.93 | 5253 | 0.3036 | 0.9371 |
|
| 523 |
+
| 0.0169 | 468.0 | 5265 | 0.3256 | 0.9371 |
|
| 524 |
+
| 0.0169 | 468.98 | 5276 | 0.3241 | 0.9308 |
|
| 525 |
+
| 0.0169 | 469.96 | 5287 | 0.3236 | 0.9245 |
|
| 526 |
+
| 0.0169 | 470.93 | 5298 | 0.3221 | 0.9308 |
|
| 527 |
+
| 0.0114 | 472.0 | 5310 | 0.2958 | 0.9371 |
|
| 528 |
+
| 0.0114 | 472.98 | 5321 | 0.2994 | 0.9371 |
|
| 529 |
+
| 0.0114 | 473.96 | 5332 | 0.2994 | 0.9371 |
|
| 530 |
+
| 0.0114 | 474.93 | 5343 | 0.4240 | 0.9245 |
|
| 531 |
+
| 0.0148 | 476.0 | 5355 | 0.3286 | 0.9308 |
|
| 532 |
+
| 0.0148 | 476.98 | 5366 | 0.2954 | 0.9434 |
|
| 533 |
+
| 0.0148 | 477.96 | 5377 | 0.2959 | 0.9434 |
|
| 534 |
+
| 0.0148 | 478.93 | 5388 | 0.2928 | 0.9434 |
|
| 535 |
+
| 0.0171 | 480.0 | 5400 | 0.2977 | 0.9434 |
|
| 536 |
+
| 0.0171 | 480.98 | 5411 | 0.3075 | 0.9434 |
|
| 537 |
+
| 0.0171 | 481.96 | 5422 | 0.3573 | 0.9308 |
|
| 538 |
+
| 0.0171 | 482.93 | 5433 | 0.3879 | 0.9182 |
|
| 539 |
+
| 0.0171 | 484.0 | 5445 | 0.3887 | 0.9119 |
|
| 540 |
+
| 0.0166 | 484.98 | 5456 | 0.3699 | 0.9182 |
|
| 541 |
+
| 0.0166 | 485.96 | 5467 | 0.3514 | 0.9308 |
|
| 542 |
+
| 0.0166 | 486.93 | 5478 | 0.3440 | 0.9308 |
|
| 543 |
+
| 0.0166 | 488.0 | 5490 | 0.3121 | 0.9371 |
|
| 544 |
+
| 0.0169 | 488.98 | 5501 | 0.3186 | 0.9371 |
|
| 545 |
+
| 0.0169 | 489.96 | 5512 | 0.3384 | 0.9308 |
|
| 546 |
+
| 0.0169 | 490.93 | 5523 | 0.3587 | 0.9245 |
|
| 547 |
+
| 0.0169 | 492.0 | 5535 | 0.3266 | 0.9371 |
|
| 548 |
+
| 0.0169 | 492.98 | 5546 | 0.3274 | 0.9308 |
|
| 549 |
+
| 0.0162 | 493.96 | 5557 | 0.3434 | 0.9245 |
|
| 550 |
+
| 0.0162 | 494.93 | 5568 | 0.3296 | 0.9245 |
|
| 551 |
+
| 0.0162 | 496.0 | 5580 | 0.3179 | 0.9371 |
|
| 552 |
+
| 0.0162 | 496.98 | 5591 | 0.3223 | 0.9371 |
|
| 553 |
+
| 0.0128 | 497.96 | 5602 | 0.3526 | 0.9182 |
|
| 554 |
+
| 0.0128 | 498.93 | 5613 | 0.3345 | 0.9308 |
|
| 555 |
+
| 0.0128 | 500.0 | 5625 | 0.3081 | 0.9308 |
|
| 556 |
+
| 0.0128 | 500.98 | 5636 | 0.3136 | 0.9308 |
|
| 557 |
+
| 0.0128 | 501.96 | 5647 | 0.3160 | 0.9308 |
|
| 558 |
+
| 0.0089 | 502.93 | 5658 | 0.3218 | 0.9308 |
|
| 559 |
+
| 0.0089 | 504.0 | 5670 | 0.3330 | 0.9308 |
|
| 560 |
+
| 0.0089 | 504.98 | 5681 | 0.3611 | 0.9245 |
|
| 561 |
+
| 0.0089 | 505.96 | 5692 | 0.3820 | 0.9245 |
|
| 562 |
+
| 0.0168 | 506.93 | 5703 | 0.3472 | 0.9245 |
|
| 563 |
+
| 0.0168 | 508.0 | 5715 | 0.3075 | 0.9308 |
|
| 564 |
+
| 0.0168 | 508.98 | 5726 | 0.3047 | 0.9308 |
|
| 565 |
+
| 0.0168 | 509.96 | 5737 | 0.3144 | 0.9371 |
|
| 566 |
+
| 0.0168 | 510.93 | 5748 | 0.3144 | 0.9371 |
|
| 567 |
+
| 0.0143 | 512.0 | 5760 | 0.3098 | 0.9308 |
|
| 568 |
+
| 0.0143 | 512.98 | 5771 | 0.3132 | 0.9371 |
|
| 569 |
+
| 0.0143 | 513.96 | 5782 | 0.3325 | 0.9371 |
|
| 570 |
+
| 0.0143 | 514.93 | 5793 | 0.3209 | 0.9371 |
|
| 571 |
+
| 0.014 | 516.0 | 5805 | 0.3192 | 0.9371 |
|
| 572 |
+
| 0.014 | 516.98 | 5816 | 0.3118 | 0.9245 |
|
| 573 |
+
| 0.014 | 517.96 | 5827 | 0.3142 | 0.9308 |
|
| 574 |
+
| 0.014 | 518.93 | 5838 | 0.3255 | 0.9371 |
|
| 575 |
+
| 0.0111 | 520.0 | 5850 | 0.3221 | 0.9371 |
|
| 576 |
+
| 0.0111 | 520.98 | 5861 | 0.3212 | 0.9308 |
|
| 577 |
+
| 0.0111 | 521.96 | 5872 | 0.3291 | 0.9245 |
|
| 578 |
+
| 0.0111 | 522.93 | 5883 | 0.3314 | 0.9245 |
|
| 579 |
+
| 0.0111 | 524.0 | 5895 | 0.3268 | 0.9308 |
|
| 580 |
+
| 0.0107 | 524.98 | 5906 | 0.3352 | 0.9371 |
|
| 581 |
+
| 0.0107 | 525.96 | 5917 | 0.3424 | 0.9371 |
|
| 582 |
+
| 0.0107 | 526.93 | 5928 | 0.3389 | 0.9308 |
|
| 583 |
+
| 0.0107 | 528.0 | 5940 | 0.3547 | 0.9371 |
|
| 584 |
+
| 0.01 | 528.98 | 5951 | 0.3475 | 0.9182 |
|
| 585 |
+
| 0.01 | 529.96 | 5962 | 0.3595 | 0.9371 |
|
| 586 |
+
| 0.01 | 530.93 | 5973 | 0.3673 | 0.9308 |
|
| 587 |
+
| 0.01 | 532.0 | 5985 | 0.4165 | 0.9119 |
|
| 588 |
+
| 0.01 | 532.98 | 5996 | 0.4247 | 0.9182 |
|
| 589 |
+
| 0.0126 | 533.96 | 6007 | 0.4062 | 0.9245 |
|
| 590 |
+
| 0.0126 | 534.93 | 6018 | 0.3752 | 0.9245 |
|
| 591 |
+
| 0.0126 | 536.0 | 6030 | 0.3574 | 0.9245 |
|
| 592 |
+
| 0.0126 | 536.98 | 6041 | 0.3824 | 0.9308 |
|
| 593 |
+
| 0.0126 | 537.96 | 6052 | 0.3730 | 0.9371 |
|
| 594 |
+
| 0.0126 | 538.93 | 6063 | 0.3704 | 0.9371 |
|
| 595 |
+
| 0.0126 | 540.0 | 6075 | 0.3814 | 0.9308 |
|
| 596 |
+
| 0.0126 | 540.98 | 6086 | 0.3649 | 0.9371 |
|
| 597 |
+
| 0.0126 | 541.96 | 6097 | 0.3811 | 0.9245 |
|
| 598 |
+
| 0.012 | 542.93 | 6108 | 0.3544 | 0.9245 |
|
| 599 |
+
| 0.012 | 544.0 | 6120 | 0.3615 | 0.9371 |
|
| 600 |
+
| 0.012 | 544.98 | 6131 | 0.3558 | 0.9371 |
|
| 601 |
+
| 0.012 | 545.96 | 6142 | 0.3482 | 0.9182 |
|
| 602 |
+
| 0.0135 | 546.93 | 6153 | 0.3668 | 0.9308 |
|
| 603 |
+
| 0.0135 | 548.0 | 6165 | 0.3404 | 0.9371 |
|
| 604 |
+
| 0.0135 | 548.98 | 6176 | 0.3340 | 0.9434 |
|
| 605 |
+
| 0.0135 | 549.96 | 6187 | 0.3377 | 0.9308 |
|
| 606 |
+
| 0.0135 | 550.93 | 6198 | 0.3407 | 0.9308 |
|
| 607 |
+
| 0.0101 | 552.0 | 6210 | 0.3389 | 0.9308 |
|
| 608 |
+
| 0.0101 | 552.98 | 6221 | 0.3305 | 0.9434 |
|
| 609 |
+
| 0.0101 | 553.96 | 6232 | 0.3199 | 0.9434 |
|
| 610 |
+
| 0.0101 | 554.93 | 6243 | 0.3338 | 0.9434 |
|
| 611 |
+
| 0.0175 | 556.0 | 6255 | 0.3323 | 0.9434 |
|
| 612 |
+
| 0.0175 | 556.98 | 6266 | 0.3403 | 0.9371 |
|
| 613 |
+
| 0.0175 | 557.96 | 6277 | 0.3474 | 0.9308 |
|
| 614 |
+
| 0.0175 | 558.93 | 6288 | 0.3499 | 0.9308 |
|
| 615 |
+
| 0.0108 | 560.0 | 6300 | 0.3429 | 0.9245 |
|
| 616 |
+
| 0.0108 | 560.98 | 6311 | 0.3396 | 0.9308 |
|
| 617 |
+
| 0.0108 | 561.96 | 6322 | 0.3467 | 0.9308 |
|
| 618 |
+
| 0.0108 | 562.93 | 6333 | 0.3349 | 0.9434 |
|
| 619 |
+
| 0.0108 | 564.0 | 6345 | 0.3381 | 0.9371 |
|
| 620 |
+
| 0.0139 | 564.98 | 6356 | 0.3274 | 0.9434 |
|
| 621 |
+
| 0.0139 | 565.96 | 6367 | 0.3319 | 0.9371 |
|
| 622 |
+
| 0.0139 | 566.93 | 6378 | 0.3321 | 0.9245 |
|
| 623 |
+
| 0.0139 | 568.0 | 6390 | 0.3547 | 0.9308 |
|
| 624 |
+
| 0.0138 | 568.98 | 6401 | 0.3662 | 0.9245 |
|
| 625 |
+
| 0.0138 | 569.96 | 6412 | 0.3455 | 0.9245 |
|
| 626 |
+
| 0.0138 | 570.93 | 6423 | 0.3478 | 0.9371 |
|
| 627 |
+
| 0.0138 | 572.0 | 6435 | 0.3400 | 0.9308 |
|
| 628 |
+
| 0.0138 | 572.98 | 6446 | 0.3513 | 0.9434 |
|
| 629 |
+
| 0.0095 | 573.96 | 6457 | 0.3462 | 0.9434 |
|
| 630 |
+
| 0.0095 | 574.93 | 6468 | 0.3349 | 0.9308 |
|
| 631 |
+
| 0.0095 | 576.0 | 6480 | 0.3376 | 0.9245 |
|
| 632 |
+
| 0.0095 | 576.98 | 6491 | 0.3373 | 0.9245 |
|
| 633 |
+
| 0.0138 | 577.96 | 6502 | 0.3311 | 0.9308 |
|
| 634 |
+
| 0.0138 | 578.93 | 6513 | 0.3312 | 0.9308 |
|
| 635 |
+
| 0.0138 | 580.0 | 6525 | 0.3291 | 0.9434 |
|
| 636 |
+
| 0.0138 | 580.98 | 6536 | 0.3442 | 0.9308 |
|
| 637 |
+
| 0.0138 | 581.96 | 6547 | 0.3806 | 0.9308 |
|
| 638 |
+
| 0.0163 | 582.93 | 6558 | 0.3934 | 0.9308 |
|
| 639 |
+
| 0.0163 | 584.0 | 6570 | 0.3990 | 0.9245 |
|
| 640 |
+
| 0.0163 | 584.98 | 6581 | 0.3533 | 0.9245 |
|
| 641 |
+
| 0.0163 | 585.96 | 6592 | 0.3410 | 0.9245 |
|
| 642 |
+
| 0.0152 | 586.93 | 6603 | 0.3351 | 0.9371 |
|
| 643 |
+
| 0.0152 | 588.0 | 6615 | 0.3369 | 0.9434 |
|
| 644 |
+
| 0.0152 | 588.98 | 6626 | 0.3542 | 0.9371 |
|
| 645 |
+
| 0.0152 | 589.96 | 6637 | 0.3729 | 0.9308 |
|
| 646 |
+
| 0.0152 | 590.93 | 6648 | 0.3407 | 0.9434 |
|
| 647 |
+
| 0.017 | 592.0 | 6660 | 0.3440 | 0.9308 |
|
| 648 |
+
| 0.017 | 592.98 | 6671 | 0.3493 | 0.9371 |
|
| 649 |
+
| 0.017 | 593.96 | 6682 | 0.3712 | 0.9371 |
|
| 650 |
+
| 0.017 | 594.93 | 6693 | 0.3646 | 0.9371 |
|
| 651 |
+
| 0.0113 | 596.0 | 6705 | 0.3663 | 0.9182 |
|
| 652 |
+
| 0.0113 | 596.98 | 6716 | 0.3726 | 0.9245 |
|
| 653 |
+
| 0.0113 | 597.96 | 6727 | 0.3530 | 0.9182 |
|
| 654 |
+
| 0.0113 | 598.93 | 6738 | 0.3452 | 0.9308 |
|
| 655 |
+
| 0.0115 | 600.0 | 6750 | 0.3340 | 0.9371 |
|
| 656 |
+
| 0.0115 | 600.98 | 6761 | 0.3489 | 0.9434 |
|
| 657 |
+
| 0.0115 | 601.96 | 6772 | 0.3408 | 0.9434 |
|
| 658 |
+
| 0.0115 | 602.93 | 6783 | 0.3424 | 0.9434 |
|
| 659 |
+
| 0.0115 | 604.0 | 6795 | 0.3480 | 0.9308 |
|
| 660 |
+
| 0.0132 | 604.98 | 6806 | 0.3439 | 0.9308 |
|
| 661 |
+
| 0.0132 | 605.96 | 6817 | 0.3531 | 0.9434 |
|
| 662 |
+
| 0.0132 | 606.93 | 6828 | 0.3808 | 0.9308 |
|
| 663 |
+
| 0.0132 | 608.0 | 6840 | 0.3441 | 0.9434 |
|
| 664 |
+
| 0.014 | 608.98 | 6851 | 0.3534 | 0.9434 |
|
| 665 |
+
| 0.014 | 609.96 | 6862 | 0.3583 | 0.9371 |
|
| 666 |
+
| 0.014 | 610.93 | 6873 | 0.3640 | 0.9371 |
|
| 667 |
+
| 0.014 | 612.0 | 6885 | 0.3588 | 0.9371 |
|
| 668 |
+
| 0.014 | 612.98 | 6896 | 0.3663 | 0.9371 |
|
| 669 |
+
| 0.0089 | 613.96 | 6907 | 0.3789 | 0.9371 |
|
| 670 |
+
| 0.0089 | 614.93 | 6918 | 0.3788 | 0.9371 |
|
| 671 |
+
| 0.0089 | 616.0 | 6930 | 0.3528 | 0.9308 |
|
| 672 |
+
| 0.0089 | 616.98 | 6941 | 0.3626 | 0.9182 |
|
| 673 |
+
| 0.0135 | 617.96 | 6952 | 0.3761 | 0.9182 |
|
| 674 |
+
| 0.0135 | 618.93 | 6963 | 0.3911 | 0.9308 |
|
| 675 |
+
| 0.0135 | 620.0 | 6975 | 0.3901 | 0.9371 |
|
| 676 |
+
| 0.0135 | 620.98 | 6986 | 0.4003 | 0.9308 |
|
| 677 |
+
| 0.0135 | 621.96 | 6997 | 0.3653 | 0.9371 |
|
| 678 |
+
| 0.0071 | 622.93 | 7008 | 0.3350 | 0.9371 |
|
| 679 |
+
| 0.0071 | 624.0 | 7020 | 0.3354 | 0.9371 |
|
| 680 |
+
| 0.0071 | 624.98 | 7031 | 0.3716 | 0.9434 |
|
| 681 |
+
| 0.0071 | 625.96 | 7042 | 0.3520 | 0.9371 |
|
| 682 |
+
| 0.0129 | 626.93 | 7053 | 0.3307 | 0.9371 |
|
| 683 |
+
| 0.0129 | 628.0 | 7065 | 0.3305 | 0.9434 |
|
| 684 |
+
| 0.0129 | 628.98 | 7076 | 0.3302 | 0.9434 |
|
| 685 |
+
| 0.0129 | 629.96 | 7087 | 0.3291 | 0.9434 |
|
| 686 |
+
| 0.0129 | 630.93 | 7098 | 0.3330 | 0.9434 |
|
| 687 |
+
| 0.0091 | 632.0 | 7110 | 0.3332 | 0.9371 |
|
| 688 |
+
| 0.0091 | 632.98 | 7121 | 0.3322 | 0.9434 |
|
| 689 |
+
| 0.0091 | 633.96 | 7132 | 0.3438 | 0.9371 |
|
| 690 |
+
| 0.0091 | 634.93 | 7143 | 0.3611 | 0.9434 |
|
| 691 |
+
| 0.0107 | 636.0 | 7155 | 0.3489 | 0.9371 |
|
| 692 |
+
| 0.0107 | 636.98 | 7166 | 0.3358 | 0.9371 |
|
| 693 |
+
| 0.0107 | 637.96 | 7177 | 0.3373 | 0.9371 |
|
| 694 |
+
| 0.0107 | 638.93 | 7188 | 0.3444 | 0.9371 |
|
| 695 |
+
| 0.0125 | 640.0 | 7200 | 0.3633 | 0.9371 |
|
| 696 |
+
| 0.0125 | 640.98 | 7211 | 0.3563 | 0.9308 |
|
| 697 |
+
| 0.0125 | 641.96 | 7222 | 0.3573 | 0.9308 |
|
| 698 |
+
| 0.0125 | 642.93 | 7233 | 0.3535 | 0.9308 |
|
| 699 |
+
| 0.0125 | 644.0 | 7245 | 0.3469 | 0.9308 |
|
| 700 |
+
| 0.0071 | 644.98 | 7256 | 0.3448 | 0.9371 |
|
| 701 |
+
| 0.0071 | 645.96 | 7267 | 0.3445 | 0.9371 |
|
| 702 |
+
| 0.0071 | 646.93 | 7278 | 0.3418 | 0.9371 |
|
| 703 |
+
| 0.0071 | 648.0 | 7290 | 0.3541 | 0.9371 |
|
| 704 |
+
| 0.0076 | 648.98 | 7301 | 0.3406 | 0.9308 |
|
| 705 |
+
| 0.0076 | 649.96 | 7312 | 0.3327 | 0.9434 |
|
| 706 |
+
| 0.0076 | 650.93 | 7323 | 0.3382 | 0.9434 |
|
| 707 |
+
| 0.0076 | 652.0 | 7335 | 0.3574 | 0.9371 |
|
| 708 |
+
| 0.0076 | 652.98 | 7346 | 0.3462 | 0.9371 |
|
| 709 |
+
| 0.0131 | 653.96 | 7357 | 0.3388 | 0.9434 |
|
| 710 |
+
| 0.0131 | 654.93 | 7368 | 0.3379 | 0.9371 |
|
| 711 |
+
| 0.0131 | 656.0 | 7380 | 0.3396 | 0.9434 |
|
| 712 |
+
| 0.0131 | 656.98 | 7391 | 0.3437 | 0.9371 |
|
| 713 |
+
| 0.0086 | 657.96 | 7402 | 0.3466 | 0.9308 |
|
| 714 |
+
| 0.0086 | 658.93 | 7413 | 0.3453 | 0.9371 |
|
| 715 |
+
| 0.0086 | 660.0 | 7425 | 0.3420 | 0.9371 |
|
| 716 |
+
| 0.0086 | 660.98 | 7436 | 0.3371 | 0.9434 |
|
| 717 |
+
| 0.0086 | 661.96 | 7447 | 0.3443 | 0.9371 |
|
| 718 |
+
| 0.0123 | 662.93 | 7458 | 0.3473 | 0.9371 |
|
| 719 |
+
| 0.0123 | 664.0 | 7470 | 0.3425 | 0.9371 |
|
| 720 |
+
| 0.0123 | 664.98 | 7481 | 0.3454 | 0.9308 |
|
| 721 |
+
| 0.0123 | 665.96 | 7492 | 0.3494 | 0.9371 |
|
| 722 |
+
| 0.0083 | 666.93 | 7503 | 0.3536 | 0.9371 |
|
| 723 |
+
| 0.0083 | 668.0 | 7515 | 0.3476 | 0.9434 |
|
| 724 |
+
| 0.0083 | 668.98 | 7526 | 0.3487 | 0.9371 |
|
| 725 |
+
| 0.0083 | 669.96 | 7537 | 0.3533 | 0.9371 |
|
| 726 |
+
| 0.0083 | 670.93 | 7548 | 0.3554 | 0.9371 |
|
| 727 |
+
| 0.0079 | 672.0 | 7560 | 0.3482 | 0.9434 |
|
| 728 |
+
| 0.0079 | 672.98 | 7571 | 0.3481 | 0.9434 |
|
| 729 |
+
| 0.0079 | 673.96 | 7582 | 0.3446 | 0.9434 |
|
| 730 |
+
| 0.0079 | 674.93 | 7593 | 0.3432 | 0.9371 |
|
| 731 |
+
| 0.0111 | 676.0 | 7605 | 0.3470 | 0.9308 |
|
| 732 |
+
| 0.0111 | 676.98 | 7616 | 0.3393 | 0.9371 |
|
| 733 |
+
| 0.0111 | 677.96 | 7627 | 0.3386 | 0.9434 |
|
| 734 |
+
| 0.0111 | 678.93 | 7638 | 0.3310 | 0.9434 |
|
| 735 |
+
| 0.0107 | 680.0 | 7650 | 0.3299 | 0.9434 |
|
| 736 |
+
| 0.0107 | 680.98 | 7661 | 0.3316 | 0.9434 |
|
| 737 |
+
| 0.0107 | 681.96 | 7672 | 0.3332 | 0.9434 |
|
| 738 |
+
| 0.0107 | 682.93 | 7683 | 0.3444 | 0.9434 |
|
| 739 |
+
| 0.0107 | 684.0 | 7695 | 0.3445 | 0.9434 |
|
| 740 |
+
| 0.0091 | 684.98 | 7706 | 0.3444 | 0.9434 |
|
| 741 |
+
| 0.0091 | 685.96 | 7717 | 0.3409 | 0.9434 |
|
| 742 |
+
| 0.0091 | 686.93 | 7728 | 0.3441 | 0.9371 |
|
| 743 |
+
| 0.0091 | 688.0 | 7740 | 0.3517 | 0.9308 |
|
| 744 |
+
| 0.0081 | 688.98 | 7751 | 0.3521 | 0.9434 |
|
| 745 |
+
| 0.0081 | 689.96 | 7762 | 0.3507 | 0.9434 |
|
| 746 |
+
| 0.0081 | 690.93 | 7773 | 0.3461 | 0.9371 |
|
| 747 |
+
| 0.0081 | 692.0 | 7785 | 0.3498 | 0.9371 |
|
| 748 |
+
| 0.0081 | 692.98 | 7796 | 0.3544 | 0.9308 |
|
| 749 |
+
| 0.009 | 693.96 | 7807 | 0.3557 | 0.9308 |
|
| 750 |
+
| 0.009 | 694.93 | 7818 | 0.3533 | 0.9308 |
|
| 751 |
+
| 0.009 | 696.0 | 7830 | 0.3559 | 0.9371 |
|
| 752 |
+
| 0.009 | 696.98 | 7841 | 0.3595 | 0.9371 |
|
| 753 |
+
| 0.0078 | 697.96 | 7852 | 0.3617 | 0.9371 |
|
| 754 |
+
| 0.0078 | 698.93 | 7863 | 0.3614 | 0.9371 |
|
| 755 |
+
| 0.0078 | 700.0 | 7875 | 0.3452 | 0.9434 |
|
| 756 |
+
| 0.0078 | 700.98 | 7886 | 0.3431 | 0.9434 |
|
| 757 |
+
| 0.0078 | 701.96 | 7897 | 0.3469 | 0.9371 |
|
| 758 |
+
| 0.0102 | 702.93 | 7908 | 0.3564 | 0.9371 |
|
| 759 |
+
| 0.0102 | 704.0 | 7920 | 0.3594 | 0.9371 |
|
| 760 |
+
| 0.0102 | 704.98 | 7931 | 0.3518 | 0.9371 |
|
| 761 |
+
| 0.0102 | 705.96 | 7942 | 0.3444 | 0.9434 |
|
| 762 |
+
| 0.008 | 706.93 | 7953 | 0.3426 | 0.9434 |
|
| 763 |
+
| 0.008 | 708.0 | 7965 | 0.3459 | 0.9434 |
|
| 764 |
+
| 0.008 | 708.98 | 7976 | 0.3511 | 0.9371 |
|
| 765 |
+
| 0.008 | 709.96 | 7987 | 0.3544 | 0.9434 |
|
| 766 |
+
| 0.008 | 710.93 | 7998 | 0.3567 | 0.9371 |
|
| 767 |
+
| 0.0053 | 712.0 | 8010 | 0.3674 | 0.9371 |
|
| 768 |
+
| 0.0053 | 712.98 | 8021 | 0.3630 | 0.9371 |
|
| 769 |
+
| 0.0053 | 713.96 | 8032 | 0.3602 | 0.9371 |
|
| 770 |
+
| 0.0053 | 714.93 | 8043 | 0.3566 | 0.9371 |
|
| 771 |
+
| 0.0071 | 716.0 | 8055 | 0.3646 | 0.9371 |
|
| 772 |
+
| 0.0071 | 716.98 | 8066 | 0.3646 | 0.9371 |
|
| 773 |
+
| 0.0071 | 717.96 | 8077 | 0.3593 | 0.9371 |
|
| 774 |
+
| 0.0071 | 718.93 | 8088 | 0.3625 | 0.9371 |
|
| 775 |
+
| 0.0071 | 720.0 | 8100 | 0.3610 | 0.9371 |
|
| 776 |
+
| 0.0071 | 720.98 | 8111 | 0.3589 | 0.9371 |
|
| 777 |
+
| 0.0071 | 721.96 | 8122 | 0.3529 | 0.9371 |
|
| 778 |
+
| 0.0071 | 722.93 | 8133 | 0.3484 | 0.9371 |
|
| 779 |
+
| 0.0071 | 724.0 | 8145 | 0.3469 | 0.9434 |
|
| 780 |
+
| 0.0098 | 724.98 | 8156 | 0.3481 | 0.9434 |
|
| 781 |
+
| 0.0098 | 725.96 | 8167 | 0.3464 | 0.9434 |
|
| 782 |
+
| 0.0098 | 726.93 | 8178 | 0.3482 | 0.9434 |
|
| 783 |
+
| 0.0098 | 728.0 | 8190 | 0.3467 | 0.9434 |
|
| 784 |
+
| 0.0159 | 728.98 | 8201 | 0.3461 | 0.9371 |
|
| 785 |
+
| 0.0159 | 729.96 | 8212 | 0.3438 | 0.9434 |
|
| 786 |
+
| 0.0159 | 730.93 | 8223 | 0.3394 | 0.9434 |
|
| 787 |
+
| 0.0159 | 732.0 | 8235 | 0.3356 | 0.9434 |
|
| 788 |
+
| 0.0159 | 732.98 | 8246 | 0.3356 | 0.9434 |
|
| 789 |
+
| 0.0128 | 733.96 | 8257 | 0.3372 | 0.9434 |
|
| 790 |
+
| 0.0128 | 734.93 | 8268 | 0.3392 | 0.9434 |
|
| 791 |
+
| 0.0128 | 736.0 | 8280 | 0.3455 | 0.9371 |
|
| 792 |
+
| 0.0128 | 736.98 | 8291 | 0.3487 | 0.9371 |
|
| 793 |
+
| 0.0086 | 737.96 | 8302 | 0.3468 | 0.9371 |
|
| 794 |
+
| 0.0086 | 738.93 | 8313 | 0.3445 | 0.9371 |
|
| 795 |
+
| 0.0086 | 740.0 | 8325 | 0.3425 | 0.9434 |
|
| 796 |
+
| 0.0086 | 740.98 | 8336 | 0.3453 | 0.9371 |
|
| 797 |
+
| 0.0086 | 741.96 | 8347 | 0.3448 | 0.9371 |
|
| 798 |
+
| 0.011 | 742.93 | 8358 | 0.3412 | 0.9371 |
|
| 799 |
+
| 0.011 | 744.0 | 8370 | 0.3392 | 0.9371 |
|
| 800 |
+
| 0.011 | 744.98 | 8381 | 0.3390 | 0.9371 |
|
| 801 |
+
| 0.011 | 745.96 | 8392 | 0.3395 | 0.9371 |
|
| 802 |
+
| 0.0074 | 746.93 | 8403 | 0.3383 | 0.9371 |
|
| 803 |
+
| 0.0074 | 748.0 | 8415 | 0.3378 | 0.9434 |
|
| 804 |
+
| 0.0074 | 748.98 | 8426 | 0.3348 | 0.9371 |
|
| 805 |
+
| 0.0074 | 749.96 | 8437 | 0.3335 | 0.9434 |
|
| 806 |
+
| 0.0074 | 750.93 | 8448 | 0.3342 | 0.9434 |
|
| 807 |
+
| 0.0087 | 752.0 | 8460 | 0.3347 | 0.9434 |
|
| 808 |
+
| 0.0087 | 752.98 | 8471 | 0.3363 | 0.9434 |
|
| 809 |
+
| 0.0087 | 753.96 | 8482 | 0.3378 | 0.9434 |
|
| 810 |
+
| 0.0087 | 754.93 | 8493 | 0.3384 | 0.9434 |
|
| 811 |
+
| 0.0061 | 756.0 | 8505 | 0.3406 | 0.9308 |
|
| 812 |
+
| 0.0061 | 756.98 | 8516 | 0.3440 | 0.9371 |
|
| 813 |
+
| 0.0061 | 757.96 | 8527 | 0.3441 | 0.9308 |
|
| 814 |
+
| 0.0061 | 758.93 | 8538 | 0.3424 | 0.9308 |
|
| 815 |
+
| 0.0119 | 760.0 | 8550 | 0.3426 | 0.9371 |
|
| 816 |
+
| 0.0119 | 760.98 | 8561 | 0.3428 | 0.9371 |
|
| 817 |
+
| 0.0119 | 761.96 | 8572 | 0.3440 | 0.9308 |
|
| 818 |
+
| 0.0119 | 762.93 | 8583 | 0.3443 | 0.9308 |
|
| 819 |
+
| 0.0119 | 764.0 | 8595 | 0.3455 | 0.9308 |
|
| 820 |
+
| 0.0056 | 764.98 | 8606 | 0.3460 | 0.9308 |
|
| 821 |
+
| 0.0056 | 765.96 | 8617 | 0.3463 | 0.9308 |
|
| 822 |
+
| 0.0056 | 766.93 | 8628 | 0.3466 | 0.9308 |
|
| 823 |
+
| 0.0056 | 768.0 | 8640 | 0.3466 | 0.9308 |
|
| 824 |
+
| 0.0094 | 768.98 | 8651 | 0.3474 | 0.9308 |
|
| 825 |
+
| 0.0094 | 769.96 | 8662 | 0.3476 | 0.9308 |
|
| 826 |
+
| 0.0094 | 770.93 | 8673 | 0.3482 | 0.9308 |
|
| 827 |
+
| 0.0094 | 772.0 | 8685 | 0.3486 | 0.9308 |
|
| 828 |
+
| 0.0094 | 772.98 | 8696 | 0.3485 | 0.9308 |
|
| 829 |
+
| 0.014 | 773.96 | 8707 | 0.3478 | 0.9308 |
|
| 830 |
+
| 0.014 | 774.93 | 8718 | 0.3472 | 0.9308 |
|
| 831 |
+
| 0.014 | 776.0 | 8730 | 0.3465 | 0.9308 |
|
| 832 |
+
| 0.014 | 776.98 | 8741 | 0.3461 | 0.9308 |
|
| 833 |
+
| 0.0126 | 777.96 | 8752 | 0.3467 | 0.9308 |
|
| 834 |
+
| 0.0126 | 778.93 | 8763 | 0.3471 | 0.9308 |
|
| 835 |
+
| 0.0126 | 780.0 | 8775 | 0.3471 | 0.9308 |
|
| 836 |
+
| 0.0126 | 780.98 | 8786 | 0.3472 | 0.9308 |
|
| 837 |
+
| 0.0126 | 781.96 | 8797 | 0.3471 | 0.9308 |
|
| 838 |
+
| 0.0048 | 782.22 | 8800 | 0.3472 | 0.9308 |
|
| 839 |
+
|
| 840 |
+
|
| 841 |
+
### Framework versions
|
| 842 |
+
|
| 843 |
+
- Transformers 4.39.0.dev0
|
| 844 |
+
- Pytorch 2.2.1+cu121
|
| 845 |
+
- Datasets 2.17.1
|
| 846 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 782.22,
|
| 3 |
+
"eval_accuracy": 0.9622641509433962,
|
| 4 |
+
"eval_loss": 0.19936275482177734,
|
| 5 |
+
"eval_runtime": 2.0221,
|
| 6 |
+
"eval_samples_per_second": 78.632,
|
| 7 |
+
"eval_steps_per_second": 4.945,
|
| 8 |
+
"train_loss": 0.0709631282125007,
|
| 9 |
+
"train_runtime": 5794.2307,
|
| 10 |
+
"train_samples_per_second": 98.995,
|
| 11 |
+
"train_steps_per_second": 1.519
|
| 12 |
+
}
|
checkpoint-2520/config.json
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "anderloh/Huggingface-wav2vec-2Class-easy-train-test",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForSequenceClassification"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.0,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 128,
|
| 15 |
+
"codevector_dim": 128,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": true,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
256,
|
| 20 |
+
256,
|
| 21 |
+
256,
|
| 22 |
+
256,
|
| 23 |
+
256,
|
| 24 |
+
256,
|
| 25 |
+
256
|
| 26 |
+
],
|
| 27 |
+
"conv_kernel": [
|
| 28 |
+
10,
|
| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
3,
|
| 33 |
+
2,
|
| 34 |
+
2
|
| 35 |
+
],
|
| 36 |
+
"conv_stride": [
|
| 37 |
+
5,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"ctc_loss_reduction": "sum",
|
| 46 |
+
"ctc_zero_infinity": false,
|
| 47 |
+
"diversity_loss_weight": 0.1,
|
| 48 |
+
"do_stable_layer_norm": true,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_dropout": 0.0,
|
| 52 |
+
"feat_extract_norm": "layer",
|
| 53 |
+
"feat_proj_dropout": 0.0,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
+
"final_dropout": 0.0,
|
| 56 |
+
"finetuning_task": "audio-classification",
|
| 57 |
+
"hidden_act": "gelu",
|
| 58 |
+
"hidden_dropout": 0.0,
|
| 59 |
+
"hidden_dropout_prob": 0.0,
|
| 60 |
+
"hidden_size": 384,
|
| 61 |
+
"id2label": {
|
| 62 |
+
"0": "Classic",
|
| 63 |
+
"1": "Racecar"
|
| 64 |
+
},
|
| 65 |
+
"initializer_range": 0.02,
|
| 66 |
+
"intermediate_size": 1536,
|
| 67 |
+
"label2id": {
|
| 68 |
+
"Classic": "0",
|
| 69 |
+
"Racecar": "1"
|
| 70 |
+
},
|
| 71 |
+
"layer_norm_eps": 1e-05,
|
| 72 |
+
"layerdrop": 0.0,
|
| 73 |
+
"mask_feature_length": 10,
|
| 74 |
+
"mask_feature_min_masks": 0,
|
| 75 |
+
"mask_feature_prob": 0.0,
|
| 76 |
+
"mask_time_length": 10,
|
| 77 |
+
"mask_time_min_masks": 2,
|
| 78 |
+
"mask_time_prob": 0.65,
|
| 79 |
+
"model_type": "wav2vec2",
|
| 80 |
+
"num_adapter_layers": 3,
|
| 81 |
+
"num_attention_heads": 6,
|
| 82 |
+
"num_codevector_groups": 2,
|
| 83 |
+
"num_codevectors_per_group": 320,
|
| 84 |
+
"num_conv_pos_embedding_groups": 16,
|
| 85 |
+
"num_conv_pos_embeddings": 128,
|
| 86 |
+
"num_feat_extract_layers": 7,
|
| 87 |
+
"num_hidden_layers": 6,
|
| 88 |
+
"num_negatives": 100,
|
| 89 |
+
"output_hidden_size": 384,
|
| 90 |
+
"pad_token_id": 0,
|
| 91 |
+
"proj_codevector_dim": 128,
|
| 92 |
+
"tdnn_dilation": [
|
| 93 |
+
1,
|
| 94 |
+
2,
|
| 95 |
+
3,
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"tdnn_dim": [
|
| 100 |
+
512,
|
| 101 |
+
512,
|
| 102 |
+
512,
|
| 103 |
+
512,
|
| 104 |
+
1500
|
| 105 |
+
],
|
| 106 |
+
"tdnn_kernel": [
|
| 107 |
+
5,
|
| 108 |
+
3,
|
| 109 |
+
3,
|
| 110 |
+
1,
|
| 111 |
+
1
|
| 112 |
+
],
|
| 113 |
+
"torch_dtype": "float32",
|
| 114 |
+
"transformers_version": "4.39.0.dev0",
|
| 115 |
+
"use_weighted_layer_sum": false,
|
| 116 |
+
"vocab_size": 32,
|
| 117 |
+
"xvector_output_dim": 512
|
| 118 |
+
}
|
checkpoint-2520/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3099375b7d1fde7be7f4a0a0f66f570bca8fc5e9b16260b822168d829977b229
|
| 3 |
+
size 52149800
|
checkpoint-2520/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a09185a17f010331fa30a6f90e9ed772b8d6a73736f0f590c26c3a173232702
|
| 3 |
+
size 95906874
|
checkpoint-2520/preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0.0,
|
| 7 |
+
"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
checkpoint-2520/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a4125caf5b1a8be5ff33ddd6a29524a342227e6e2398c1e8b21e4af1dda1a13
|
| 3 |
+
size 14308
|
checkpoint-2520/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29adadd70635cff962e0ad7cf050c94a0b18c00310299b57d55e35d79d497fad
|
| 3 |
+
size 1064
|
checkpoint-2520/trainer_state.json
ADDED
|
@@ -0,0 +1,2387 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9622641509433962,
|
| 3 |
+
"best_model_checkpoint": "wav2vec2-2Class-easy-train-test-large/checkpoint-2520",
|
| 4 |
+
"epoch": 224.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2520,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.98,
|
| 13 |
+
"eval_accuracy": 0.4088050314465409,
|
| 14 |
+
"eval_loss": 0.7003181576728821,
|
| 15 |
+
"eval_runtime": 1.8048,
|
| 16 |
+
"eval_samples_per_second": 88.1,
|
| 17 |
+
"eval_steps_per_second": 5.541,
|
| 18 |
+
"step": 11
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 1.96,
|
| 22 |
+
"eval_accuracy": 0.4088050314465409,
|
| 23 |
+
"eval_loss": 0.7001124620437622,
|
| 24 |
+
"eval_runtime": 1.7728,
|
| 25 |
+
"eval_samples_per_second": 89.69,
|
| 26 |
+
"eval_steps_per_second": 5.641,
|
| 27 |
+
"step": 22
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 2.93,
|
| 31 |
+
"eval_accuracy": 0.41509433962264153,
|
| 32 |
+
"eval_loss": 0.69970703125,
|
| 33 |
+
"eval_runtime": 1.7593,
|
| 34 |
+
"eval_samples_per_second": 90.375,
|
| 35 |
+
"eval_steps_per_second": 5.684,
|
| 36 |
+
"step": 33
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 4.0,
|
| 40 |
+
"eval_accuracy": 0.42138364779874216,
|
| 41 |
+
"eval_loss": 0.6991450786590576,
|
| 42 |
+
"eval_runtime": 1.7582,
|
| 43 |
+
"eval_samples_per_second": 90.433,
|
| 44 |
+
"eval_steps_per_second": 5.688,
|
| 45 |
+
"step": 45
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 4.44,
|
| 49 |
+
"grad_norm": 0.8353477716445923,
|
| 50 |
+
"learning_rate": 1.7045454545454546e-06,
|
| 51 |
+
"loss": 0.6976,
|
| 52 |
+
"step": 50
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 4.98,
|
| 56 |
+
"eval_accuracy": 0.4276729559748428,
|
| 57 |
+
"eval_loss": 0.6984724998474121,
|
| 58 |
+
"eval_runtime": 1.7849,
|
| 59 |
+
"eval_samples_per_second": 89.08,
|
| 60 |
+
"eval_steps_per_second": 5.603,
|
| 61 |
+
"step": 56
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 5.96,
|
| 65 |
+
"eval_accuracy": 0.44025157232704404,
|
| 66 |
+
"eval_loss": 0.697744607925415,
|
| 67 |
+
"eval_runtime": 2.127,
|
| 68 |
+
"eval_samples_per_second": 74.753,
|
| 69 |
+
"eval_steps_per_second": 4.701,
|
| 70 |
+
"step": 67
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"epoch": 6.93,
|
| 74 |
+
"eval_accuracy": 0.44654088050314467,
|
| 75 |
+
"eval_loss": 0.6968724727630615,
|
| 76 |
+
"eval_runtime": 2.2513,
|
| 77 |
+
"eval_samples_per_second": 70.624,
|
| 78 |
+
"eval_steps_per_second": 4.442,
|
| 79 |
+
"step": 78
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 8.0,
|
| 83 |
+
"eval_accuracy": 0.46540880503144655,
|
| 84 |
+
"eval_loss": 0.6957085728645325,
|
| 85 |
+
"eval_runtime": 2.1194,
|
| 86 |
+
"eval_samples_per_second": 75.021,
|
| 87 |
+
"eval_steps_per_second": 4.718,
|
| 88 |
+
"step": 90
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 8.89,
|
| 92 |
+
"grad_norm": 0.45805710554122925,
|
| 93 |
+
"learning_rate": 3.409090909090909e-06,
|
| 94 |
+
"loss": 0.6952,
|
| 95 |
+
"step": 100
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 8.98,
|
| 99 |
+
"eval_accuracy": 0.46540880503144655,
|
| 100 |
+
"eval_loss": 0.6945385932922363,
|
| 101 |
+
"eval_runtime": 2.2918,
|
| 102 |
+
"eval_samples_per_second": 69.378,
|
| 103 |
+
"eval_steps_per_second": 4.363,
|
| 104 |
+
"step": 101
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 9.96,
|
| 108 |
+
"eval_accuracy": 0.4779874213836478,
|
| 109 |
+
"eval_loss": 0.6933900117874146,
|
| 110 |
+
"eval_runtime": 2.2504,
|
| 111 |
+
"eval_samples_per_second": 70.654,
|
| 112 |
+
"eval_steps_per_second": 4.444,
|
| 113 |
+
"step": 112
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 10.93,
|
| 117 |
+
"eval_accuracy": 0.49056603773584906,
|
| 118 |
+
"eval_loss": 0.692146360874176,
|
| 119 |
+
"eval_runtime": 2.1543,
|
| 120 |
+
"eval_samples_per_second": 73.804,
|
| 121 |
+
"eval_steps_per_second": 4.642,
|
| 122 |
+
"step": 123
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 12.0,
|
| 126 |
+
"eval_accuracy": 0.5471698113207547,
|
| 127 |
+
"eval_loss": 0.6906170845031738,
|
| 128 |
+
"eval_runtime": 2.0832,
|
| 129 |
+
"eval_samples_per_second": 76.326,
|
| 130 |
+
"eval_steps_per_second": 4.8,
|
| 131 |
+
"step": 135
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 12.98,
|
| 135 |
+
"eval_accuracy": 0.610062893081761,
|
| 136 |
+
"eval_loss": 0.6892228722572327,
|
| 137 |
+
"eval_runtime": 2.0269,
|
| 138 |
+
"eval_samples_per_second": 78.443,
|
| 139 |
+
"eval_steps_per_second": 4.934,
|
| 140 |
+
"step": 146
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 13.33,
|
| 144 |
+
"grad_norm": 0.6493268609046936,
|
| 145 |
+
"learning_rate": 5.1136363636363635e-06,
|
| 146 |
+
"loss": 0.6911,
|
| 147 |
+
"step": 150
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 13.96,
|
| 151 |
+
"eval_accuracy": 0.6037735849056604,
|
| 152 |
+
"eval_loss": 0.6878040432929993,
|
| 153 |
+
"eval_runtime": 2.1502,
|
| 154 |
+
"eval_samples_per_second": 73.946,
|
| 155 |
+
"eval_steps_per_second": 4.651,
|
| 156 |
+
"step": 157
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 14.93,
|
| 160 |
+
"eval_accuracy": 0.5911949685534591,
|
| 161 |
+
"eval_loss": 0.6863483190536499,
|
| 162 |
+
"eval_runtime": 2.0844,
|
| 163 |
+
"eval_samples_per_second": 76.279,
|
| 164 |
+
"eval_steps_per_second": 4.797,
|
| 165 |
+
"step": 168
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 16.0,
|
| 169 |
+
"eval_accuracy": 0.5911949685534591,
|
| 170 |
+
"eval_loss": 0.6847361326217651,
|
| 171 |
+
"eval_runtime": 2.1372,
|
| 172 |
+
"eval_samples_per_second": 74.395,
|
| 173 |
+
"eval_steps_per_second": 4.679,
|
| 174 |
+
"step": 180
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 16.98,
|
| 178 |
+
"eval_accuracy": 0.5849056603773585,
|
| 179 |
+
"eval_loss": 0.6830993294715881,
|
| 180 |
+
"eval_runtime": 2.3473,
|
| 181 |
+
"eval_samples_per_second": 67.739,
|
| 182 |
+
"eval_steps_per_second": 4.26,
|
| 183 |
+
"step": 191
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 17.78,
|
| 187 |
+
"grad_norm": 0.5862739086151123,
|
| 188 |
+
"learning_rate": 6.818181818181818e-06,
|
| 189 |
+
"loss": 0.6852,
|
| 190 |
+
"step": 200
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 17.96,
|
| 194 |
+
"eval_accuracy": 0.5849056603773585,
|
| 195 |
+
"eval_loss": 0.6815393567085266,
|
| 196 |
+
"eval_runtime": 2.1307,
|
| 197 |
+
"eval_samples_per_second": 74.623,
|
| 198 |
+
"eval_steps_per_second": 4.693,
|
| 199 |
+
"step": 202
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 18.93,
|
| 203 |
+
"eval_accuracy": 0.5849056603773585,
|
| 204 |
+
"eval_loss": 0.679994523525238,
|
| 205 |
+
"eval_runtime": 2.082,
|
| 206 |
+
"eval_samples_per_second": 76.37,
|
| 207 |
+
"eval_steps_per_second": 4.803,
|
| 208 |
+
"step": 213
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 20.0,
|
| 212 |
+
"eval_accuracy": 0.5849056603773585,
|
| 213 |
+
"eval_loss": 0.6782289147377014,
|
| 214 |
+
"eval_runtime": 2.1302,
|
| 215 |
+
"eval_samples_per_second": 74.641,
|
| 216 |
+
"eval_steps_per_second": 4.694,
|
| 217 |
+
"step": 225
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 20.98,
|
| 221 |
+
"eval_accuracy": 0.5849056603773585,
|
| 222 |
+
"eval_loss": 0.6765275001525879,
|
| 223 |
+
"eval_runtime": 2.0229,
|
| 224 |
+
"eval_samples_per_second": 78.601,
|
| 225 |
+
"eval_steps_per_second": 4.943,
|
| 226 |
+
"step": 236
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 21.96,
|
| 230 |
+
"eval_accuracy": 0.5849056603773585,
|
| 231 |
+
"eval_loss": 0.6749551892280579,
|
| 232 |
+
"eval_runtime": 2.0505,
|
| 233 |
+
"eval_samples_per_second": 77.542,
|
| 234 |
+
"eval_steps_per_second": 4.877,
|
| 235 |
+
"step": 247
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 22.22,
|
| 239 |
+
"grad_norm": 0.10243403911590576,
|
| 240 |
+
"learning_rate": 8.522727272727273e-06,
|
| 241 |
+
"loss": 0.6783,
|
| 242 |
+
"step": 250
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 22.93,
|
| 246 |
+
"eval_accuracy": 0.5849056603773585,
|
| 247 |
+
"eval_loss": 0.6732170581817627,
|
| 248 |
+
"eval_runtime": 2.0616,
|
| 249 |
+
"eval_samples_per_second": 77.125,
|
| 250 |
+
"eval_steps_per_second": 4.851,
|
| 251 |
+
"step": 258
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 24.0,
|
| 255 |
+
"eval_accuracy": 0.5849056603773585,
|
| 256 |
+
"eval_loss": 0.6713252067565918,
|
| 257 |
+
"eval_runtime": 2.1605,
|
| 258 |
+
"eval_samples_per_second": 73.595,
|
| 259 |
+
"eval_steps_per_second": 4.629,
|
| 260 |
+
"step": 270
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 24.98,
|
| 264 |
+
"eval_accuracy": 0.5849056603773585,
|
| 265 |
+
"eval_loss": 0.6694673895835876,
|
| 266 |
+
"eval_runtime": 2.0526,
|
| 267 |
+
"eval_samples_per_second": 77.462,
|
| 268 |
+
"eval_steps_per_second": 4.872,
|
| 269 |
+
"step": 281
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 25.96,
|
| 273 |
+
"eval_accuracy": 0.5849056603773585,
|
| 274 |
+
"eval_loss": 0.6674391031265259,
|
| 275 |
+
"eval_runtime": 2.1284,
|
| 276 |
+
"eval_samples_per_second": 74.704,
|
| 277 |
+
"eval_steps_per_second": 4.698,
|
| 278 |
+
"step": 292
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 26.67,
|
| 282 |
+
"grad_norm": 0.3114006221294403,
|
| 283 |
+
"learning_rate": 1.0227272727272727e-05,
|
| 284 |
+
"loss": 0.6676,
|
| 285 |
+
"step": 300
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 26.93,
|
| 289 |
+
"eval_accuracy": 0.5849056603773585,
|
| 290 |
+
"eval_loss": 0.6654335856437683,
|
| 291 |
+
"eval_runtime": 1.9991,
|
| 292 |
+
"eval_samples_per_second": 79.535,
|
| 293 |
+
"eval_steps_per_second": 5.002,
|
| 294 |
+
"step": 303
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 28.0,
|
| 298 |
+
"eval_accuracy": 0.5849056603773585,
|
| 299 |
+
"eval_loss": 0.6630644202232361,
|
| 300 |
+
"eval_runtime": 2.0451,
|
| 301 |
+
"eval_samples_per_second": 77.745,
|
| 302 |
+
"eval_steps_per_second": 4.89,
|
| 303 |
+
"step": 315
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 28.98,
|
| 307 |
+
"eval_accuracy": 0.5849056603773585,
|
| 308 |
+
"eval_loss": 0.6605831980705261,
|
| 309 |
+
"eval_runtime": 2.0625,
|
| 310 |
+
"eval_samples_per_second": 77.092,
|
| 311 |
+
"eval_steps_per_second": 4.849,
|
| 312 |
+
"step": 326
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 29.96,
|
| 316 |
+
"eval_accuracy": 0.5849056603773585,
|
| 317 |
+
"eval_loss": 0.6578991413116455,
|
| 318 |
+
"eval_runtime": 2.0381,
|
| 319 |
+
"eval_samples_per_second": 78.014,
|
| 320 |
+
"eval_steps_per_second": 4.907,
|
| 321 |
+
"step": 337
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 30.93,
|
| 325 |
+
"eval_accuracy": 0.5849056603773585,
|
| 326 |
+
"eval_loss": 0.6539114713668823,
|
| 327 |
+
"eval_runtime": 1.9774,
|
| 328 |
+
"eval_samples_per_second": 80.407,
|
| 329 |
+
"eval_steps_per_second": 5.057,
|
| 330 |
+
"step": 348
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 31.11,
|
| 334 |
+
"grad_norm": 0.2134709656238556,
|
| 335 |
+
"learning_rate": 1.1931818181818181e-05,
|
| 336 |
+
"loss": 0.6516,
|
| 337 |
+
"step": 350
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 32.0,
|
| 341 |
+
"eval_accuracy": 0.5974842767295597,
|
| 342 |
+
"eval_loss": 0.6492742896080017,
|
| 343 |
+
"eval_runtime": 2.0601,
|
| 344 |
+
"eval_samples_per_second": 77.182,
|
| 345 |
+
"eval_steps_per_second": 4.854,
|
| 346 |
+
"step": 360
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 32.98,
|
| 350 |
+
"eval_accuracy": 0.610062893081761,
|
| 351 |
+
"eval_loss": 0.6441397070884705,
|
| 352 |
+
"eval_runtime": 2.0739,
|
| 353 |
+
"eval_samples_per_second": 76.667,
|
| 354 |
+
"eval_steps_per_second": 4.822,
|
| 355 |
+
"step": 371
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 33.96,
|
| 359 |
+
"eval_accuracy": 0.6226415094339622,
|
| 360 |
+
"eval_loss": 0.6348815560340881,
|
| 361 |
+
"eval_runtime": 2.1526,
|
| 362 |
+
"eval_samples_per_second": 73.865,
|
| 363 |
+
"eval_steps_per_second": 4.646,
|
| 364 |
+
"step": 382
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 34.93,
|
| 368 |
+
"eval_accuracy": 0.6289308176100629,
|
| 369 |
+
"eval_loss": 0.6257140040397644,
|
| 370 |
+
"eval_runtime": 2.0081,
|
| 371 |
+
"eval_samples_per_second": 79.179,
|
| 372 |
+
"eval_steps_per_second": 4.98,
|
| 373 |
+
"step": 393
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 35.56,
|
| 377 |
+
"grad_norm": 0.8974349498748779,
|
| 378 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 379 |
+
"loss": 0.6124,
|
| 380 |
+
"step": 400
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 36.0,
|
| 384 |
+
"eval_accuracy": 0.6415094339622641,
|
| 385 |
+
"eval_loss": 0.611738920211792,
|
| 386 |
+
"eval_runtime": 1.9854,
|
| 387 |
+
"eval_samples_per_second": 80.083,
|
| 388 |
+
"eval_steps_per_second": 5.037,
|
| 389 |
+
"step": 405
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 36.98,
|
| 393 |
+
"eval_accuracy": 0.6666666666666666,
|
| 394 |
+
"eval_loss": 0.5910706520080566,
|
| 395 |
+
"eval_runtime": 2.0618,
|
| 396 |
+
"eval_samples_per_second": 77.117,
|
| 397 |
+
"eval_steps_per_second": 4.85,
|
| 398 |
+
"step": 416
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 37.96,
|
| 402 |
+
"eval_accuracy": 0.6918238993710691,
|
| 403 |
+
"eval_loss": 0.5672016143798828,
|
| 404 |
+
"eval_runtime": 2.0402,
|
| 405 |
+
"eval_samples_per_second": 77.932,
|
| 406 |
+
"eval_steps_per_second": 4.901,
|
| 407 |
+
"step": 427
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 38.93,
|
| 411 |
+
"eval_accuracy": 0.7232704402515723,
|
| 412 |
+
"eval_loss": 0.5392354130744934,
|
| 413 |
+
"eval_runtime": 2.2936,
|
| 414 |
+
"eval_samples_per_second": 69.324,
|
| 415 |
+
"eval_steps_per_second": 4.36,
|
| 416 |
+
"step": 438
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 40.0,
|
| 420 |
+
"grad_norm": 0.7736309170722961,
|
| 421 |
+
"learning_rate": 1.534090909090909e-05,
|
| 422 |
+
"loss": 0.5073,
|
| 423 |
+
"step": 450
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 40.0,
|
| 427 |
+
"eval_accuracy": 0.7547169811320755,
|
| 428 |
+
"eval_loss": 0.5041937232017517,
|
| 429 |
+
"eval_runtime": 2.1247,
|
| 430 |
+
"eval_samples_per_second": 74.835,
|
| 431 |
+
"eval_steps_per_second": 4.707,
|
| 432 |
+
"step": 450
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 40.98,
|
| 436 |
+
"eval_accuracy": 0.7672955974842768,
|
| 437 |
+
"eval_loss": 0.47902750968933105,
|
| 438 |
+
"eval_runtime": 2.163,
|
| 439 |
+
"eval_samples_per_second": 73.509,
|
| 440 |
+
"eval_steps_per_second": 4.623,
|
| 441 |
+
"step": 461
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 41.96,
|
| 445 |
+
"eval_accuracy": 0.779874213836478,
|
| 446 |
+
"eval_loss": 0.47594940662384033,
|
| 447 |
+
"eval_runtime": 2.1321,
|
| 448 |
+
"eval_samples_per_second": 74.574,
|
| 449 |
+
"eval_steps_per_second": 4.69,
|
| 450 |
+
"step": 472
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 42.93,
|
| 454 |
+
"eval_accuracy": 0.7987421383647799,
|
| 455 |
+
"eval_loss": 0.4369964003562927,
|
| 456 |
+
"eval_runtime": 2.1555,
|
| 457 |
+
"eval_samples_per_second": 73.765,
|
| 458 |
+
"eval_steps_per_second": 4.639,
|
| 459 |
+
"step": 483
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 44.0,
|
| 463 |
+
"eval_accuracy": 0.7987421383647799,
|
| 464 |
+
"eval_loss": 0.43516698479652405,
|
| 465 |
+
"eval_runtime": 2.032,
|
| 466 |
+
"eval_samples_per_second": 78.249,
|
| 467 |
+
"eval_steps_per_second": 4.921,
|
| 468 |
+
"step": 495
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 44.44,
|
| 472 |
+
"grad_norm": 0.4976819157600403,
|
| 473 |
+
"learning_rate": 1.7045454545454546e-05,
|
| 474 |
+
"loss": 0.3489,
|
| 475 |
+
"step": 500
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 44.98,
|
| 479 |
+
"eval_accuracy": 0.7987421383647799,
|
| 480 |
+
"eval_loss": 0.4422326385974884,
|
| 481 |
+
"eval_runtime": 2.1135,
|
| 482 |
+
"eval_samples_per_second": 75.231,
|
| 483 |
+
"eval_steps_per_second": 4.732,
|
| 484 |
+
"step": 506
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 45.96,
|
| 488 |
+
"eval_accuracy": 0.8050314465408805,
|
| 489 |
+
"eval_loss": 0.41540881991386414,
|
| 490 |
+
"eval_runtime": 2.0847,
|
| 491 |
+
"eval_samples_per_second": 76.27,
|
| 492 |
+
"eval_steps_per_second": 4.797,
|
| 493 |
+
"step": 517
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 46.93,
|
| 497 |
+
"eval_accuracy": 0.8050314465408805,
|
| 498 |
+
"eval_loss": 0.4131433367729187,
|
| 499 |
+
"eval_runtime": 1.9752,
|
| 500 |
+
"eval_samples_per_second": 80.498,
|
| 501 |
+
"eval_steps_per_second": 5.063,
|
| 502 |
+
"step": 528
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 48.0,
|
| 506 |
+
"eval_accuracy": 0.8113207547169812,
|
| 507 |
+
"eval_loss": 0.3975575864315033,
|
| 508 |
+
"eval_runtime": 2.01,
|
| 509 |
+
"eval_samples_per_second": 79.104,
|
| 510 |
+
"eval_steps_per_second": 4.975,
|
| 511 |
+
"step": 540
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 48.89,
|
| 515 |
+
"grad_norm": 0.5197520852088928,
|
| 516 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 517 |
+
"loss": 0.2962,
|
| 518 |
+
"step": 550
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 48.98,
|
| 522 |
+
"eval_accuracy": 0.8113207547169812,
|
| 523 |
+
"eval_loss": 0.39397454261779785,
|
| 524 |
+
"eval_runtime": 2.0261,
|
| 525 |
+
"eval_samples_per_second": 78.474,
|
| 526 |
+
"eval_steps_per_second": 4.935,
|
| 527 |
+
"step": 551
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 49.96,
|
| 531 |
+
"eval_accuracy": 0.8238993710691824,
|
| 532 |
+
"eval_loss": 0.371494859457016,
|
| 533 |
+
"eval_runtime": 2.0246,
|
| 534 |
+
"eval_samples_per_second": 78.535,
|
| 535 |
+
"eval_steps_per_second": 4.939,
|
| 536 |
+
"step": 562
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 50.93,
|
| 540 |
+
"eval_accuracy": 0.8427672955974843,
|
| 541 |
+
"eval_loss": 0.34951409697532654,
|
| 542 |
+
"eval_runtime": 2.3286,
|
| 543 |
+
"eval_samples_per_second": 68.281,
|
| 544 |
+
"eval_steps_per_second": 4.294,
|
| 545 |
+
"step": 573
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 52.0,
|
| 549 |
+
"eval_accuracy": 0.8364779874213837,
|
| 550 |
+
"eval_loss": 0.3481156826019287,
|
| 551 |
+
"eval_runtime": 1.9542,
|
| 552 |
+
"eval_samples_per_second": 81.362,
|
| 553 |
+
"eval_steps_per_second": 5.117,
|
| 554 |
+
"step": 585
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 52.98,
|
| 558 |
+
"eval_accuracy": 0.8176100628930818,
|
| 559 |
+
"eval_loss": 0.3817409873008728,
|
| 560 |
+
"eval_runtime": 2.0789,
|
| 561 |
+
"eval_samples_per_second": 76.484,
|
| 562 |
+
"eval_steps_per_second": 4.81,
|
| 563 |
+
"step": 596
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 53.33,
|
| 567 |
+
"grad_norm": 0.5608111023902893,
|
| 568 |
+
"learning_rate": 2.0454545454545454e-05,
|
| 569 |
+
"loss": 0.2573,
|
| 570 |
+
"step": 600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 53.96,
|
| 574 |
+
"eval_accuracy": 0.8490566037735849,
|
| 575 |
+
"eval_loss": 0.3412492871284485,
|
| 576 |
+
"eval_runtime": 2.0746,
|
| 577 |
+
"eval_samples_per_second": 76.642,
|
| 578 |
+
"eval_steps_per_second": 4.82,
|
| 579 |
+
"step": 607
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 54.93,
|
| 583 |
+
"eval_accuracy": 0.8490566037735849,
|
| 584 |
+
"eval_loss": 0.32929155230522156,
|
| 585 |
+
"eval_runtime": 1.9991,
|
| 586 |
+
"eval_samples_per_second": 79.538,
|
| 587 |
+
"eval_steps_per_second": 5.002,
|
| 588 |
+
"step": 618
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 56.0,
|
| 592 |
+
"eval_accuracy": 0.8427672955974843,
|
| 593 |
+
"eval_loss": 0.3547687232494354,
|
| 594 |
+
"eval_runtime": 2.1242,
|
| 595 |
+
"eval_samples_per_second": 74.851,
|
| 596 |
+
"eval_steps_per_second": 4.708,
|
| 597 |
+
"step": 630
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 56.98,
|
| 601 |
+
"eval_accuracy": 0.8427672955974843,
|
| 602 |
+
"eval_loss": 0.3044220209121704,
|
| 603 |
+
"eval_runtime": 2.0508,
|
| 604 |
+
"eval_samples_per_second": 77.532,
|
| 605 |
+
"eval_steps_per_second": 4.876,
|
| 606 |
+
"step": 641
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 57.78,
|
| 610 |
+
"grad_norm": 0.894092321395874,
|
| 611 |
+
"learning_rate": 2.215909090909091e-05,
|
| 612 |
+
"loss": 0.2279,
|
| 613 |
+
"step": 650
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 57.96,
|
| 617 |
+
"eval_accuracy": 0.8490566037735849,
|
| 618 |
+
"eval_loss": 0.32347577810287476,
|
| 619 |
+
"eval_runtime": 2.2095,
|
| 620 |
+
"eval_samples_per_second": 71.963,
|
| 621 |
+
"eval_steps_per_second": 4.526,
|
| 622 |
+
"step": 652
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 58.93,
|
| 626 |
+
"eval_accuracy": 0.8490566037735849,
|
| 627 |
+
"eval_loss": 0.3371436297893524,
|
| 628 |
+
"eval_runtime": 2.1055,
|
| 629 |
+
"eval_samples_per_second": 75.518,
|
| 630 |
+
"eval_steps_per_second": 4.75,
|
| 631 |
+
"step": 663
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 60.0,
|
| 635 |
+
"eval_accuracy": 0.8490566037735849,
|
| 636 |
+
"eval_loss": 0.31275492906570435,
|
| 637 |
+
"eval_runtime": 2.1311,
|
| 638 |
+
"eval_samples_per_second": 74.61,
|
| 639 |
+
"eval_steps_per_second": 4.692,
|
| 640 |
+
"step": 675
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 60.98,
|
| 644 |
+
"eval_accuracy": 0.8553459119496856,
|
| 645 |
+
"eval_loss": 0.32111966609954834,
|
| 646 |
+
"eval_runtime": 2.0639,
|
| 647 |
+
"eval_samples_per_second": 77.038,
|
| 648 |
+
"eval_steps_per_second": 4.845,
|
| 649 |
+
"step": 686
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 61.96,
|
| 653 |
+
"eval_accuracy": 0.8616352201257862,
|
| 654 |
+
"eval_loss": 0.302960604429245,
|
| 655 |
+
"eval_runtime": 2.0241,
|
| 656 |
+
"eval_samples_per_second": 78.552,
|
| 657 |
+
"eval_steps_per_second": 4.94,
|
| 658 |
+
"step": 697
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 62.22,
|
| 662 |
+
"grad_norm": 0.4315973222255707,
|
| 663 |
+
"learning_rate": 2.3863636363636362e-05,
|
| 664 |
+
"loss": 0.2167,
|
| 665 |
+
"step": 700
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 62.93,
|
| 669 |
+
"eval_accuracy": 0.8616352201257862,
|
| 670 |
+
"eval_loss": 0.29696550965309143,
|
| 671 |
+
"eval_runtime": 2.034,
|
| 672 |
+
"eval_samples_per_second": 78.169,
|
| 673 |
+
"eval_steps_per_second": 4.916,
|
| 674 |
+
"step": 708
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 64.0,
|
| 678 |
+
"eval_accuracy": 0.8679245283018868,
|
| 679 |
+
"eval_loss": 0.29949402809143066,
|
| 680 |
+
"eval_runtime": 2.095,
|
| 681 |
+
"eval_samples_per_second": 75.897,
|
| 682 |
+
"eval_steps_per_second": 4.773,
|
| 683 |
+
"step": 720
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 64.98,
|
| 687 |
+
"eval_accuracy": 0.8742138364779874,
|
| 688 |
+
"eval_loss": 0.2867083251476288,
|
| 689 |
+
"eval_runtime": 2.0417,
|
| 690 |
+
"eval_samples_per_second": 77.876,
|
| 691 |
+
"eval_steps_per_second": 4.898,
|
| 692 |
+
"step": 731
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 65.96,
|
| 696 |
+
"eval_accuracy": 0.8930817610062893,
|
| 697 |
+
"eval_loss": 0.26363295316696167,
|
| 698 |
+
"eval_runtime": 2.1382,
|
| 699 |
+
"eval_samples_per_second": 74.363,
|
| 700 |
+
"eval_steps_per_second": 4.677,
|
| 701 |
+
"step": 742
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 66.67,
|
| 705 |
+
"grad_norm": 0.37665870785713196,
|
| 706 |
+
"learning_rate": 2.556818181818182e-05,
|
| 707 |
+
"loss": 0.207,
|
| 708 |
+
"step": 750
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 66.93,
|
| 712 |
+
"eval_accuracy": 0.8805031446540881,
|
| 713 |
+
"eval_loss": 0.28482353687286377,
|
| 714 |
+
"eval_runtime": 2.1166,
|
| 715 |
+
"eval_samples_per_second": 75.119,
|
| 716 |
+
"eval_steps_per_second": 4.724,
|
| 717 |
+
"step": 753
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 68.0,
|
| 721 |
+
"eval_accuracy": 0.8867924528301887,
|
| 722 |
+
"eval_loss": 0.2750767767429352,
|
| 723 |
+
"eval_runtime": 2.1981,
|
| 724 |
+
"eval_samples_per_second": 72.336,
|
| 725 |
+
"eval_steps_per_second": 4.549,
|
| 726 |
+
"step": 765
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 68.98,
|
| 730 |
+
"eval_accuracy": 0.8930817610062893,
|
| 731 |
+
"eval_loss": 0.256393700838089,
|
| 732 |
+
"eval_runtime": 2.033,
|
| 733 |
+
"eval_samples_per_second": 78.211,
|
| 734 |
+
"eval_steps_per_second": 4.919,
|
| 735 |
+
"step": 776
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 69.96,
|
| 739 |
+
"eval_accuracy": 0.8930817610062893,
|
| 740 |
+
"eval_loss": 0.25443732738494873,
|
| 741 |
+
"eval_runtime": 2.0096,
|
| 742 |
+
"eval_samples_per_second": 79.121,
|
| 743 |
+
"eval_steps_per_second": 4.976,
|
| 744 |
+
"step": 787
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 70.93,
|
| 748 |
+
"eval_accuracy": 0.8742138364779874,
|
| 749 |
+
"eval_loss": 0.2954423129558563,
|
| 750 |
+
"eval_runtime": 2.1018,
|
| 751 |
+
"eval_samples_per_second": 75.649,
|
| 752 |
+
"eval_steps_per_second": 4.758,
|
| 753 |
+
"step": 798
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 71.11,
|
| 757 |
+
"grad_norm": 0.7302255630493164,
|
| 758 |
+
"learning_rate": 2.7272727272727273e-05,
|
| 759 |
+
"loss": 0.1899,
|
| 760 |
+
"step": 800
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 72.0,
|
| 764 |
+
"eval_accuracy": 0.8930817610062893,
|
| 765 |
+
"eval_loss": 0.25169771909713745,
|
| 766 |
+
"eval_runtime": 2.041,
|
| 767 |
+
"eval_samples_per_second": 77.904,
|
| 768 |
+
"eval_steps_per_second": 4.9,
|
| 769 |
+
"step": 810
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 72.98,
|
| 773 |
+
"eval_accuracy": 0.8930817610062893,
|
| 774 |
+
"eval_loss": 0.2506076693534851,
|
| 775 |
+
"eval_runtime": 2.0257,
|
| 776 |
+
"eval_samples_per_second": 78.49,
|
| 777 |
+
"eval_steps_per_second": 4.936,
|
| 778 |
+
"step": 821
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 73.96,
|
| 782 |
+
"eval_accuracy": 0.8930817610062893,
|
| 783 |
+
"eval_loss": 0.2434261441230774,
|
| 784 |
+
"eval_runtime": 2.0325,
|
| 785 |
+
"eval_samples_per_second": 78.23,
|
| 786 |
+
"eval_steps_per_second": 4.92,
|
| 787 |
+
"step": 832
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 74.93,
|
| 791 |
+
"eval_accuracy": 0.89937106918239,
|
| 792 |
+
"eval_loss": 0.23832084238529205,
|
| 793 |
+
"eval_runtime": 2.1871,
|
| 794 |
+
"eval_samples_per_second": 72.699,
|
| 795 |
+
"eval_steps_per_second": 4.572,
|
| 796 |
+
"step": 843
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 75.56,
|
| 800 |
+
"grad_norm": 0.5180615186691284,
|
| 801 |
+
"learning_rate": 2.897727272727273e-05,
|
| 802 |
+
"loss": 0.1801,
|
| 803 |
+
"step": 850
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 76.0,
|
| 807 |
+
"eval_accuracy": 0.89937106918239,
|
| 808 |
+
"eval_loss": 0.23464229702949524,
|
| 809 |
+
"eval_runtime": 2.026,
|
| 810 |
+
"eval_samples_per_second": 78.48,
|
| 811 |
+
"eval_steps_per_second": 4.936,
|
| 812 |
+
"step": 855
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 76.98,
|
| 816 |
+
"eval_accuracy": 0.89937106918239,
|
| 817 |
+
"eval_loss": 0.22975026071071625,
|
| 818 |
+
"eval_runtime": 2.0881,
|
| 819 |
+
"eval_samples_per_second": 76.147,
|
| 820 |
+
"eval_steps_per_second": 4.789,
|
| 821 |
+
"step": 866
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 77.96,
|
| 825 |
+
"eval_accuracy": 0.9056603773584906,
|
| 826 |
+
"eval_loss": 0.2403678596019745,
|
| 827 |
+
"eval_runtime": 2.075,
|
| 828 |
+
"eval_samples_per_second": 76.626,
|
| 829 |
+
"eval_steps_per_second": 4.819,
|
| 830 |
+
"step": 877
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 78.93,
|
| 834 |
+
"eval_accuracy": 0.8930817610062893,
|
| 835 |
+
"eval_loss": 0.2674010097980499,
|
| 836 |
+
"eval_runtime": 2.037,
|
| 837 |
+
"eval_samples_per_second": 78.057,
|
| 838 |
+
"eval_steps_per_second": 4.909,
|
| 839 |
+
"step": 888
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 80.0,
|
| 843 |
+
"grad_norm": 1.2135472297668457,
|
| 844 |
+
"learning_rate": 2.9924242424242427e-05,
|
| 845 |
+
"loss": 0.1692,
|
| 846 |
+
"step": 900
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 80.0,
|
| 850 |
+
"eval_accuracy": 0.89937106918239,
|
| 851 |
+
"eval_loss": 0.2231501042842865,
|
| 852 |
+
"eval_runtime": 2.0398,
|
| 853 |
+
"eval_samples_per_second": 77.949,
|
| 854 |
+
"eval_steps_per_second": 4.902,
|
| 855 |
+
"step": 900
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 80.98,
|
| 859 |
+
"eval_accuracy": 0.89937106918239,
|
| 860 |
+
"eval_loss": 0.2390480935573578,
|
| 861 |
+
"eval_runtime": 1.9822,
|
| 862 |
+
"eval_samples_per_second": 80.213,
|
| 863 |
+
"eval_steps_per_second": 5.045,
|
| 864 |
+
"step": 911
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 81.96,
|
| 868 |
+
"eval_accuracy": 0.8930817610062893,
|
| 869 |
+
"eval_loss": 0.20583955943584442,
|
| 870 |
+
"eval_runtime": 2.0665,
|
| 871 |
+
"eval_samples_per_second": 76.94,
|
| 872 |
+
"eval_steps_per_second": 4.839,
|
| 873 |
+
"step": 922
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 82.93,
|
| 877 |
+
"eval_accuracy": 0.9056603773584906,
|
| 878 |
+
"eval_loss": 0.2114023119211197,
|
| 879 |
+
"eval_runtime": 2.0736,
|
| 880 |
+
"eval_samples_per_second": 76.678,
|
| 881 |
+
"eval_steps_per_second": 4.823,
|
| 882 |
+
"step": 933
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 84.0,
|
| 886 |
+
"eval_accuracy": 0.89937106918239,
|
| 887 |
+
"eval_loss": 0.24830691516399384,
|
| 888 |
+
"eval_runtime": 2.0148,
|
| 889 |
+
"eval_samples_per_second": 78.915,
|
| 890 |
+
"eval_steps_per_second": 4.963,
|
| 891 |
+
"step": 945
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 84.44,
|
| 895 |
+
"grad_norm": 0.5111488103866577,
|
| 896 |
+
"learning_rate": 2.9734848484848486e-05,
|
| 897 |
+
"loss": 0.1691,
|
| 898 |
+
"step": 950
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 84.98,
|
| 902 |
+
"eval_accuracy": 0.9119496855345912,
|
| 903 |
+
"eval_loss": 0.2259017676115036,
|
| 904 |
+
"eval_runtime": 2.2201,
|
| 905 |
+
"eval_samples_per_second": 71.618,
|
| 906 |
+
"eval_steps_per_second": 4.504,
|
| 907 |
+
"step": 956
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 85.96,
|
| 911 |
+
"eval_accuracy": 0.9119496855345912,
|
| 912 |
+
"eval_loss": 0.20239894092082977,
|
| 913 |
+
"eval_runtime": 2.0671,
|
| 914 |
+
"eval_samples_per_second": 76.918,
|
| 915 |
+
"eval_steps_per_second": 4.838,
|
| 916 |
+
"step": 967
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 86.93,
|
| 920 |
+
"eval_accuracy": 0.89937106918239,
|
| 921 |
+
"eval_loss": 0.20193150639533997,
|
| 922 |
+
"eval_runtime": 2.0416,
|
| 923 |
+
"eval_samples_per_second": 77.879,
|
| 924 |
+
"eval_steps_per_second": 4.898,
|
| 925 |
+
"step": 978
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 88.0,
|
| 929 |
+
"eval_accuracy": 0.9245283018867925,
|
| 930 |
+
"eval_loss": 0.19625458121299744,
|
| 931 |
+
"eval_runtime": 2.0196,
|
| 932 |
+
"eval_samples_per_second": 78.73,
|
| 933 |
+
"eval_steps_per_second": 4.952,
|
| 934 |
+
"step": 990
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 88.89,
|
| 938 |
+
"grad_norm": 0.4683234989643097,
|
| 939 |
+
"learning_rate": 2.9545454545454545e-05,
|
| 940 |
+
"loss": 0.1609,
|
| 941 |
+
"step": 1000
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 88.98,
|
| 945 |
+
"eval_accuracy": 0.9119496855345912,
|
| 946 |
+
"eval_loss": 0.21583892405033112,
|
| 947 |
+
"eval_runtime": 2.0254,
|
| 948 |
+
"eval_samples_per_second": 78.503,
|
| 949 |
+
"eval_steps_per_second": 4.937,
|
| 950 |
+
"step": 1001
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 89.96,
|
| 954 |
+
"eval_accuracy": 0.9119496855345912,
|
| 955 |
+
"eval_loss": 0.197691410779953,
|
| 956 |
+
"eval_runtime": 1.9978,
|
| 957 |
+
"eval_samples_per_second": 79.586,
|
| 958 |
+
"eval_steps_per_second": 5.005,
|
| 959 |
+
"step": 1012
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 90.93,
|
| 963 |
+
"eval_accuracy": 0.9182389937106918,
|
| 964 |
+
"eval_loss": 0.19791610538959503,
|
| 965 |
+
"eval_runtime": 2.0853,
|
| 966 |
+
"eval_samples_per_second": 76.248,
|
| 967 |
+
"eval_steps_per_second": 4.795,
|
| 968 |
+
"step": 1023
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 92.0,
|
| 972 |
+
"eval_accuracy": 0.9119496855345912,
|
| 973 |
+
"eval_loss": 0.20358721911907196,
|
| 974 |
+
"eval_runtime": 2.1963,
|
| 975 |
+
"eval_samples_per_second": 72.393,
|
| 976 |
+
"eval_steps_per_second": 4.553,
|
| 977 |
+
"step": 1035
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 92.98,
|
| 981 |
+
"eval_accuracy": 0.9245283018867925,
|
| 982 |
+
"eval_loss": 0.19769711792469025,
|
| 983 |
+
"eval_runtime": 2.0089,
|
| 984 |
+
"eval_samples_per_second": 79.146,
|
| 985 |
+
"eval_steps_per_second": 4.978,
|
| 986 |
+
"step": 1046
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 93.33,
|
| 990 |
+
"grad_norm": 0.6099847555160522,
|
| 991 |
+
"learning_rate": 2.9356060606060604e-05,
|
| 992 |
+
"loss": 0.1516,
|
| 993 |
+
"step": 1050
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 93.96,
|
| 997 |
+
"eval_accuracy": 0.9182389937106918,
|
| 998 |
+
"eval_loss": 0.1974458247423172,
|
| 999 |
+
"eval_runtime": 2.1182,
|
| 1000 |
+
"eval_samples_per_second": 75.065,
|
| 1001 |
+
"eval_steps_per_second": 4.721,
|
| 1002 |
+
"step": 1057
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 94.93,
|
| 1006 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1007 |
+
"eval_loss": 0.1993919163942337,
|
| 1008 |
+
"eval_runtime": 2.0707,
|
| 1009 |
+
"eval_samples_per_second": 76.787,
|
| 1010 |
+
"eval_steps_per_second": 4.829,
|
| 1011 |
+
"step": 1068
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 96.0,
|
| 1015 |
+
"eval_accuracy": 0.9119496855345912,
|
| 1016 |
+
"eval_loss": 0.1955273449420929,
|
| 1017 |
+
"eval_runtime": 2.0163,
|
| 1018 |
+
"eval_samples_per_second": 78.858,
|
| 1019 |
+
"eval_steps_per_second": 4.96,
|
| 1020 |
+
"step": 1080
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 96.98,
|
| 1024 |
+
"eval_accuracy": 0.9119496855345912,
|
| 1025 |
+
"eval_loss": 0.19483698904514313,
|
| 1026 |
+
"eval_runtime": 2.0495,
|
| 1027 |
+
"eval_samples_per_second": 77.581,
|
| 1028 |
+
"eval_steps_per_second": 4.879,
|
| 1029 |
+
"step": 1091
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 97.78,
|
| 1033 |
+
"grad_norm": 1.0578981637954712,
|
| 1034 |
+
"learning_rate": 2.9166666666666666e-05,
|
| 1035 |
+
"loss": 0.1386,
|
| 1036 |
+
"step": 1100
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 97.96,
|
| 1040 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1041 |
+
"eval_loss": 0.19463855028152466,
|
| 1042 |
+
"eval_runtime": 2.0625,
|
| 1043 |
+
"eval_samples_per_second": 77.091,
|
| 1044 |
+
"eval_steps_per_second": 4.849,
|
| 1045 |
+
"step": 1102
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 98.93,
|
| 1049 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1050 |
+
"eval_loss": 0.19323910772800446,
|
| 1051 |
+
"eval_runtime": 2.0028,
|
| 1052 |
+
"eval_samples_per_second": 79.389,
|
| 1053 |
+
"eval_steps_per_second": 4.993,
|
| 1054 |
+
"step": 1113
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 100.0,
|
| 1058 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1059 |
+
"eval_loss": 0.1841806173324585,
|
| 1060 |
+
"eval_runtime": 2.1056,
|
| 1061 |
+
"eval_samples_per_second": 75.512,
|
| 1062 |
+
"eval_steps_per_second": 4.749,
|
| 1063 |
+
"step": 1125
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 100.98,
|
| 1067 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1068 |
+
"eval_loss": 0.18839451670646667,
|
| 1069 |
+
"eval_runtime": 1.9858,
|
| 1070 |
+
"eval_samples_per_second": 80.07,
|
| 1071 |
+
"eval_steps_per_second": 5.036,
|
| 1072 |
+
"step": 1136
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 101.96,
|
| 1076 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1077 |
+
"eval_loss": 0.1899903267621994,
|
| 1078 |
+
"eval_runtime": 2.2196,
|
| 1079 |
+
"eval_samples_per_second": 71.635,
|
| 1080 |
+
"eval_steps_per_second": 4.505,
|
| 1081 |
+
"step": 1147
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 102.22,
|
| 1085 |
+
"grad_norm": 0.6229210495948792,
|
| 1086 |
+
"learning_rate": 2.897727272727273e-05,
|
| 1087 |
+
"loss": 0.1279,
|
| 1088 |
+
"step": 1150
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 102.93,
|
| 1092 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1093 |
+
"eval_loss": 0.184115469455719,
|
| 1094 |
+
"eval_runtime": 2.0229,
|
| 1095 |
+
"eval_samples_per_second": 78.602,
|
| 1096 |
+
"eval_steps_per_second": 4.944,
|
| 1097 |
+
"step": 1158
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 104.0,
|
| 1101 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1102 |
+
"eval_loss": 0.19207227230072021,
|
| 1103 |
+
"eval_runtime": 1.9639,
|
| 1104 |
+
"eval_samples_per_second": 80.962,
|
| 1105 |
+
"eval_steps_per_second": 5.092,
|
| 1106 |
+
"step": 1170
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 104.98,
|
| 1110 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1111 |
+
"eval_loss": 0.19926591217517853,
|
| 1112 |
+
"eval_runtime": 2.0509,
|
| 1113 |
+
"eval_samples_per_second": 77.526,
|
| 1114 |
+
"eval_steps_per_second": 4.876,
|
| 1115 |
+
"step": 1181
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 105.96,
|
| 1119 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1120 |
+
"eval_loss": 0.19455212354660034,
|
| 1121 |
+
"eval_runtime": 2.0496,
|
| 1122 |
+
"eval_samples_per_second": 77.577,
|
| 1123 |
+
"eval_steps_per_second": 4.879,
|
| 1124 |
+
"step": 1192
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 106.67,
|
| 1128 |
+
"grad_norm": 1.2741256952285767,
|
| 1129 |
+
"learning_rate": 2.8787878787878788e-05,
|
| 1130 |
+
"loss": 0.1258,
|
| 1131 |
+
"step": 1200
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 106.93,
|
| 1135 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1136 |
+
"eval_loss": 0.18963727355003357,
|
| 1137 |
+
"eval_runtime": 2.0026,
|
| 1138 |
+
"eval_samples_per_second": 79.395,
|
| 1139 |
+
"eval_steps_per_second": 4.993,
|
| 1140 |
+
"step": 1203
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 108.0,
|
| 1144 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1145 |
+
"eval_loss": 0.1884273737668991,
|
| 1146 |
+
"eval_runtime": 2.0343,
|
| 1147 |
+
"eval_samples_per_second": 78.16,
|
| 1148 |
+
"eval_steps_per_second": 4.916,
|
| 1149 |
+
"step": 1215
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 108.98,
|
| 1153 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1154 |
+
"eval_loss": 0.17940251529216766,
|
| 1155 |
+
"eval_runtime": 2.1734,
|
| 1156 |
+
"eval_samples_per_second": 73.156,
|
| 1157 |
+
"eval_steps_per_second": 4.601,
|
| 1158 |
+
"step": 1226
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 109.96,
|
| 1162 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1163 |
+
"eval_loss": 0.18589730560779572,
|
| 1164 |
+
"eval_runtime": 2.0874,
|
| 1165 |
+
"eval_samples_per_second": 76.17,
|
| 1166 |
+
"eval_steps_per_second": 4.791,
|
| 1167 |
+
"step": 1237
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 110.93,
|
| 1171 |
+
"eval_accuracy": 0.9119496855345912,
|
| 1172 |
+
"eval_loss": 0.2194768339395523,
|
| 1173 |
+
"eval_runtime": 2.0717,
|
| 1174 |
+
"eval_samples_per_second": 76.747,
|
| 1175 |
+
"eval_steps_per_second": 4.827,
|
| 1176 |
+
"step": 1248
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 111.11,
|
| 1180 |
+
"grad_norm": 0.3613344430923462,
|
| 1181 |
+
"learning_rate": 2.859848484848485e-05,
|
| 1182 |
+
"loss": 0.1258,
|
| 1183 |
+
"step": 1250
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 112.0,
|
| 1187 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1188 |
+
"eval_loss": 0.20826272666454315,
|
| 1189 |
+
"eval_runtime": 1.9861,
|
| 1190 |
+
"eval_samples_per_second": 80.057,
|
| 1191 |
+
"eval_steps_per_second": 5.035,
|
| 1192 |
+
"step": 1260
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 112.98,
|
| 1196 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1197 |
+
"eval_loss": 0.21202689409255981,
|
| 1198 |
+
"eval_runtime": 2.0132,
|
| 1199 |
+
"eval_samples_per_second": 78.98,
|
| 1200 |
+
"eval_steps_per_second": 4.967,
|
| 1201 |
+
"step": 1271
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 113.96,
|
| 1205 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1206 |
+
"eval_loss": 0.20663346350193024,
|
| 1207 |
+
"eval_runtime": 2.02,
|
| 1208 |
+
"eval_samples_per_second": 78.711,
|
| 1209 |
+
"eval_steps_per_second": 4.95,
|
| 1210 |
+
"step": 1282
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 114.93,
|
| 1214 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1215 |
+
"eval_loss": 0.1931203156709671,
|
| 1216 |
+
"eval_runtime": 2.033,
|
| 1217 |
+
"eval_samples_per_second": 78.208,
|
| 1218 |
+
"eval_steps_per_second": 4.919,
|
| 1219 |
+
"step": 1293
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"epoch": 115.56,
|
| 1223 |
+
"grad_norm": 0.7503376007080078,
|
| 1224 |
+
"learning_rate": 2.8409090909090912e-05,
|
| 1225 |
+
"loss": 0.1023,
|
| 1226 |
+
"step": 1300
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 116.0,
|
| 1230 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1231 |
+
"eval_loss": 0.19000084698200226,
|
| 1232 |
+
"eval_runtime": 2.0014,
|
| 1233 |
+
"eval_samples_per_second": 79.446,
|
| 1234 |
+
"eval_steps_per_second": 4.997,
|
| 1235 |
+
"step": 1305
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 116.98,
|
| 1239 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1240 |
+
"eval_loss": 0.20288796722888947,
|
| 1241 |
+
"eval_runtime": 2.0774,
|
| 1242 |
+
"eval_samples_per_second": 76.539,
|
| 1243 |
+
"eval_steps_per_second": 4.814,
|
| 1244 |
+
"step": 1316
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 117.96,
|
| 1248 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1249 |
+
"eval_loss": 0.19505923986434937,
|
| 1250 |
+
"eval_runtime": 2.0552,
|
| 1251 |
+
"eval_samples_per_second": 77.366,
|
| 1252 |
+
"eval_steps_per_second": 4.866,
|
| 1253 |
+
"step": 1327
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 118.93,
|
| 1257 |
+
"eval_accuracy": 0.9119496855345912,
|
| 1258 |
+
"eval_loss": 0.20838169753551483,
|
| 1259 |
+
"eval_runtime": 2.2371,
|
| 1260 |
+
"eval_samples_per_second": 71.074,
|
| 1261 |
+
"eval_steps_per_second": 4.47,
|
| 1262 |
+
"step": 1338
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 120.0,
|
| 1266 |
+
"grad_norm": 0.2376416176557541,
|
| 1267 |
+
"learning_rate": 2.821969696969697e-05,
|
| 1268 |
+
"loss": 0.0997,
|
| 1269 |
+
"step": 1350
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 120.0,
|
| 1273 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1274 |
+
"eval_loss": 0.2159019112586975,
|
| 1275 |
+
"eval_runtime": 2.0579,
|
| 1276 |
+
"eval_samples_per_second": 77.264,
|
| 1277 |
+
"eval_steps_per_second": 4.859,
|
| 1278 |
+
"step": 1350
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 120.98,
|
| 1282 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1283 |
+
"eval_loss": 0.21662545204162598,
|
| 1284 |
+
"eval_runtime": 2.0756,
|
| 1285 |
+
"eval_samples_per_second": 76.605,
|
| 1286 |
+
"eval_steps_per_second": 4.818,
|
| 1287 |
+
"step": 1361
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 121.96,
|
| 1291 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1292 |
+
"eval_loss": 0.197323277592659,
|
| 1293 |
+
"eval_runtime": 2.0227,
|
| 1294 |
+
"eval_samples_per_second": 78.607,
|
| 1295 |
+
"eval_steps_per_second": 4.944,
|
| 1296 |
+
"step": 1372
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 122.93,
|
| 1300 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1301 |
+
"eval_loss": 0.18507684767246246,
|
| 1302 |
+
"eval_runtime": 2.0728,
|
| 1303 |
+
"eval_samples_per_second": 76.706,
|
| 1304 |
+
"eval_steps_per_second": 4.824,
|
| 1305 |
+
"step": 1383
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 124.0,
|
| 1309 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1310 |
+
"eval_loss": 0.20666691660881042,
|
| 1311 |
+
"eval_runtime": 1.9717,
|
| 1312 |
+
"eval_samples_per_second": 80.642,
|
| 1313 |
+
"eval_steps_per_second": 5.072,
|
| 1314 |
+
"step": 1395
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 124.44,
|
| 1318 |
+
"grad_norm": 0.3115290403366089,
|
| 1319 |
+
"learning_rate": 2.803030303030303e-05,
|
| 1320 |
+
"loss": 0.1021,
|
| 1321 |
+
"step": 1400
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 124.98,
|
| 1325 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1326 |
+
"eval_loss": 0.19534242153167725,
|
| 1327 |
+
"eval_runtime": 2.0497,
|
| 1328 |
+
"eval_samples_per_second": 77.571,
|
| 1329 |
+
"eval_steps_per_second": 4.879,
|
| 1330 |
+
"step": 1406
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 125.96,
|
| 1334 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1335 |
+
"eval_loss": 0.17650572955608368,
|
| 1336 |
+
"eval_runtime": 2.239,
|
| 1337 |
+
"eval_samples_per_second": 71.015,
|
| 1338 |
+
"eval_steps_per_second": 4.466,
|
| 1339 |
+
"step": 1417
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 126.93,
|
| 1343 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1344 |
+
"eval_loss": 0.18782062828540802,
|
| 1345 |
+
"eval_runtime": 2.0533,
|
| 1346 |
+
"eval_samples_per_second": 77.437,
|
| 1347 |
+
"eval_steps_per_second": 4.87,
|
| 1348 |
+
"step": 1428
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 128.0,
|
| 1352 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1353 |
+
"eval_loss": 0.20708344876766205,
|
| 1354 |
+
"eval_runtime": 2.0414,
|
| 1355 |
+
"eval_samples_per_second": 77.887,
|
| 1356 |
+
"eval_steps_per_second": 4.899,
|
| 1357 |
+
"step": 1440
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 128.89,
|
| 1361 |
+
"grad_norm": 1.2413551807403564,
|
| 1362 |
+
"learning_rate": 2.784090909090909e-05,
|
| 1363 |
+
"loss": 0.0883,
|
| 1364 |
+
"step": 1450
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 128.98,
|
| 1368 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1369 |
+
"eval_loss": 0.2241077572107315,
|
| 1370 |
+
"eval_runtime": 1.9826,
|
| 1371 |
+
"eval_samples_per_second": 80.197,
|
| 1372 |
+
"eval_steps_per_second": 5.044,
|
| 1373 |
+
"step": 1451
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 129.96,
|
| 1377 |
+
"eval_accuracy": 0.9119496855345912,
|
| 1378 |
+
"eval_loss": 0.23481474816799164,
|
| 1379 |
+
"eval_runtime": 1.9747,
|
| 1380 |
+
"eval_samples_per_second": 80.518,
|
| 1381 |
+
"eval_steps_per_second": 5.064,
|
| 1382 |
+
"step": 1462
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 130.93,
|
| 1386 |
+
"eval_accuracy": 0.9056603773584906,
|
| 1387 |
+
"eval_loss": 0.24748335778713226,
|
| 1388 |
+
"eval_runtime": 1.9737,
|
| 1389 |
+
"eval_samples_per_second": 80.559,
|
| 1390 |
+
"eval_steps_per_second": 5.067,
|
| 1391 |
+
"step": 1473
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 132.0,
|
| 1395 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1396 |
+
"eval_loss": 0.21596243977546692,
|
| 1397 |
+
"eval_runtime": 2.0455,
|
| 1398 |
+
"eval_samples_per_second": 77.733,
|
| 1399 |
+
"eval_steps_per_second": 4.889,
|
| 1400 |
+
"step": 1485
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 132.98,
|
| 1404 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1405 |
+
"eval_loss": 0.20896825194358826,
|
| 1406 |
+
"eval_runtime": 2.047,
|
| 1407 |
+
"eval_samples_per_second": 77.675,
|
| 1408 |
+
"eval_steps_per_second": 4.885,
|
| 1409 |
+
"step": 1496
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 133.33,
|
| 1413 |
+
"grad_norm": 0.56540846824646,
|
| 1414 |
+
"learning_rate": 2.7651515151515152e-05,
|
| 1415 |
+
"loss": 0.0769,
|
| 1416 |
+
"step": 1500
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 133.96,
|
| 1420 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1421 |
+
"eval_loss": 0.21468934416770935,
|
| 1422 |
+
"eval_runtime": 1.9936,
|
| 1423 |
+
"eval_samples_per_second": 79.754,
|
| 1424 |
+
"eval_steps_per_second": 5.016,
|
| 1425 |
+
"step": 1507
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 134.93,
|
| 1429 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1430 |
+
"eval_loss": 0.22008037567138672,
|
| 1431 |
+
"eval_runtime": 2.0857,
|
| 1432 |
+
"eval_samples_per_second": 76.234,
|
| 1433 |
+
"eval_steps_per_second": 4.795,
|
| 1434 |
+
"step": 1518
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 136.0,
|
| 1438 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1439 |
+
"eval_loss": 0.23723578453063965,
|
| 1440 |
+
"eval_runtime": 2.1872,
|
| 1441 |
+
"eval_samples_per_second": 72.695,
|
| 1442 |
+
"eval_steps_per_second": 4.572,
|
| 1443 |
+
"step": 1530
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 136.98,
|
| 1447 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1448 |
+
"eval_loss": 0.21990692615509033,
|
| 1449 |
+
"eval_runtime": 2.0473,
|
| 1450 |
+
"eval_samples_per_second": 77.664,
|
| 1451 |
+
"eval_steps_per_second": 4.885,
|
| 1452 |
+
"step": 1541
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 137.78,
|
| 1456 |
+
"grad_norm": 1.0245180130004883,
|
| 1457 |
+
"learning_rate": 2.7462121212121214e-05,
|
| 1458 |
+
"loss": 0.0786,
|
| 1459 |
+
"step": 1550
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 137.96,
|
| 1463 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1464 |
+
"eval_loss": 0.2087443619966507,
|
| 1465 |
+
"eval_runtime": 2.0577,
|
| 1466 |
+
"eval_samples_per_second": 77.271,
|
| 1467 |
+
"eval_steps_per_second": 4.86,
|
| 1468 |
+
"step": 1552
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 138.93,
|
| 1472 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1473 |
+
"eval_loss": 0.18779344856739044,
|
| 1474 |
+
"eval_runtime": 2.0799,
|
| 1475 |
+
"eval_samples_per_second": 76.447,
|
| 1476 |
+
"eval_steps_per_second": 4.808,
|
| 1477 |
+
"step": 1563
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 140.0,
|
| 1481 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1482 |
+
"eval_loss": 0.1914655864238739,
|
| 1483 |
+
"eval_runtime": 2.043,
|
| 1484 |
+
"eval_samples_per_second": 77.827,
|
| 1485 |
+
"eval_steps_per_second": 4.895,
|
| 1486 |
+
"step": 1575
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 140.98,
|
| 1490 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1491 |
+
"eval_loss": 0.23168283700942993,
|
| 1492 |
+
"eval_runtime": 2.0313,
|
| 1493 |
+
"eval_samples_per_second": 78.277,
|
| 1494 |
+
"eval_steps_per_second": 4.923,
|
| 1495 |
+
"step": 1586
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 141.96,
|
| 1499 |
+
"eval_accuracy": 0.8930817610062893,
|
| 1500 |
+
"eval_loss": 0.2865447700023651,
|
| 1501 |
+
"eval_runtime": 2.0095,
|
| 1502 |
+
"eval_samples_per_second": 79.125,
|
| 1503 |
+
"eval_steps_per_second": 4.976,
|
| 1504 |
+
"step": 1597
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 142.22,
|
| 1508 |
+
"grad_norm": 1.393044352531433,
|
| 1509 |
+
"learning_rate": 2.7272727272727273e-05,
|
| 1510 |
+
"loss": 0.0714,
|
| 1511 |
+
"step": 1600
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 142.93,
|
| 1515 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1516 |
+
"eval_loss": 0.22998519241809845,
|
| 1517 |
+
"eval_runtime": 2.1842,
|
| 1518 |
+
"eval_samples_per_second": 72.794,
|
| 1519 |
+
"eval_steps_per_second": 4.578,
|
| 1520 |
+
"step": 1608
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 144.0,
|
| 1524 |
+
"eval_accuracy": 0.9056603773584906,
|
| 1525 |
+
"eval_loss": 0.27265357971191406,
|
| 1526 |
+
"eval_runtime": 2.0318,
|
| 1527 |
+
"eval_samples_per_second": 78.258,
|
| 1528 |
+
"eval_steps_per_second": 4.922,
|
| 1529 |
+
"step": 1620
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 144.98,
|
| 1533 |
+
"eval_accuracy": 0.9056603773584906,
|
| 1534 |
+
"eval_loss": 0.28114742040634155,
|
| 1535 |
+
"eval_runtime": 2.0949,
|
| 1536 |
+
"eval_samples_per_second": 75.9,
|
| 1537 |
+
"eval_steps_per_second": 4.774,
|
| 1538 |
+
"step": 1631
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 145.96,
|
| 1542 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1543 |
+
"eval_loss": 0.21014899015426636,
|
| 1544 |
+
"eval_runtime": 2.0829,
|
| 1545 |
+
"eval_samples_per_second": 76.335,
|
| 1546 |
+
"eval_steps_per_second": 4.801,
|
| 1547 |
+
"step": 1642
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 146.67,
|
| 1551 |
+
"grad_norm": 1.1527929306030273,
|
| 1552 |
+
"learning_rate": 2.7083333333333335e-05,
|
| 1553 |
+
"loss": 0.0702,
|
| 1554 |
+
"step": 1650
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 146.93,
|
| 1558 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1559 |
+
"eval_loss": 0.20363318920135498,
|
| 1560 |
+
"eval_runtime": 2.0224,
|
| 1561 |
+
"eval_samples_per_second": 78.618,
|
| 1562 |
+
"eval_steps_per_second": 4.945,
|
| 1563 |
+
"step": 1653
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 148.0,
|
| 1567 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1568 |
+
"eval_loss": 0.22154641151428223,
|
| 1569 |
+
"eval_runtime": 2.0286,
|
| 1570 |
+
"eval_samples_per_second": 78.378,
|
| 1571 |
+
"eval_steps_per_second": 4.929,
|
| 1572 |
+
"step": 1665
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 148.98,
|
| 1576 |
+
"eval_accuracy": 0.9182389937106918,
|
| 1577 |
+
"eval_loss": 0.21356013417243958,
|
| 1578 |
+
"eval_runtime": 1.9745,
|
| 1579 |
+
"eval_samples_per_second": 80.526,
|
| 1580 |
+
"eval_steps_per_second": 5.065,
|
| 1581 |
+
"step": 1676
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 149.96,
|
| 1585 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1586 |
+
"eval_loss": 0.20560431480407715,
|
| 1587 |
+
"eval_runtime": 2.0343,
|
| 1588 |
+
"eval_samples_per_second": 78.161,
|
| 1589 |
+
"eval_steps_per_second": 4.916,
|
| 1590 |
+
"step": 1687
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 150.93,
|
| 1594 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1595 |
+
"eval_loss": 0.20028233528137207,
|
| 1596 |
+
"eval_runtime": 2.0476,
|
| 1597 |
+
"eval_samples_per_second": 77.65,
|
| 1598 |
+
"eval_steps_per_second": 4.884,
|
| 1599 |
+
"step": 1698
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 151.11,
|
| 1603 |
+
"grad_norm": 0.6037131547927856,
|
| 1604 |
+
"learning_rate": 2.6893939393939398e-05,
|
| 1605 |
+
"loss": 0.0676,
|
| 1606 |
+
"step": 1700
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 152.0,
|
| 1610 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1611 |
+
"eval_loss": 0.22495229542255402,
|
| 1612 |
+
"eval_runtime": 2.0653,
|
| 1613 |
+
"eval_samples_per_second": 76.985,
|
| 1614 |
+
"eval_steps_per_second": 4.842,
|
| 1615 |
+
"step": 1710
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 152.98,
|
| 1619 |
+
"eval_accuracy": 0.9559748427672956,
|
| 1620 |
+
"eval_loss": 0.1910940259695053,
|
| 1621 |
+
"eval_runtime": 2.2097,
|
| 1622 |
+
"eval_samples_per_second": 71.955,
|
| 1623 |
+
"eval_steps_per_second": 4.525,
|
| 1624 |
+
"step": 1721
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 153.96,
|
| 1628 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1629 |
+
"eval_loss": 0.2189728170633316,
|
| 1630 |
+
"eval_runtime": 2.049,
|
| 1631 |
+
"eval_samples_per_second": 77.598,
|
| 1632 |
+
"eval_steps_per_second": 4.88,
|
| 1633 |
+
"step": 1732
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 154.93,
|
| 1637 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1638 |
+
"eval_loss": 0.1975589245557785,
|
| 1639 |
+
"eval_runtime": 2.0536,
|
| 1640 |
+
"eval_samples_per_second": 77.426,
|
| 1641 |
+
"eval_steps_per_second": 4.87,
|
| 1642 |
+
"step": 1743
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"epoch": 155.56,
|
| 1646 |
+
"grad_norm": 0.9841188788414001,
|
| 1647 |
+
"learning_rate": 2.6704545454545453e-05,
|
| 1648 |
+
"loss": 0.0674,
|
| 1649 |
+
"step": 1750
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 156.0,
|
| 1653 |
+
"eval_accuracy": 0.949685534591195,
|
| 1654 |
+
"eval_loss": 0.18743836879730225,
|
| 1655 |
+
"eval_runtime": 2.0593,
|
| 1656 |
+
"eval_samples_per_second": 77.211,
|
| 1657 |
+
"eval_steps_per_second": 4.856,
|
| 1658 |
+
"step": 1755
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 156.98,
|
| 1662 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1663 |
+
"eval_loss": 0.2022770792245865,
|
| 1664 |
+
"eval_runtime": 2.0432,
|
| 1665 |
+
"eval_samples_per_second": 77.821,
|
| 1666 |
+
"eval_steps_per_second": 4.894,
|
| 1667 |
+
"step": 1766
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 157.96,
|
| 1671 |
+
"eval_accuracy": 0.949685534591195,
|
| 1672 |
+
"eval_loss": 0.21527531743049622,
|
| 1673 |
+
"eval_runtime": 1.9951,
|
| 1674 |
+
"eval_samples_per_second": 79.694,
|
| 1675 |
+
"eval_steps_per_second": 5.012,
|
| 1676 |
+
"step": 1777
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 158.93,
|
| 1680 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1681 |
+
"eval_loss": 0.22451625764369965,
|
| 1682 |
+
"eval_runtime": 2.1442,
|
| 1683 |
+
"eval_samples_per_second": 74.155,
|
| 1684 |
+
"eval_steps_per_second": 4.664,
|
| 1685 |
+
"step": 1788
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 160.0,
|
| 1689 |
+
"grad_norm": 0.5377254486083984,
|
| 1690 |
+
"learning_rate": 2.6515151515151516e-05,
|
| 1691 |
+
"loss": 0.0548,
|
| 1692 |
+
"step": 1800
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 160.0,
|
| 1696 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1697 |
+
"eval_loss": 0.2431740015745163,
|
| 1698 |
+
"eval_runtime": 2.2699,
|
| 1699 |
+
"eval_samples_per_second": 70.046,
|
| 1700 |
+
"eval_steps_per_second": 4.405,
|
| 1701 |
+
"step": 1800
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 160.98,
|
| 1705 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1706 |
+
"eval_loss": 0.2071038782596588,
|
| 1707 |
+
"eval_runtime": 2.0506,
|
| 1708 |
+
"eval_samples_per_second": 77.538,
|
| 1709 |
+
"eval_steps_per_second": 4.877,
|
| 1710 |
+
"step": 1811
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 161.96,
|
| 1714 |
+
"eval_accuracy": 0.949685534591195,
|
| 1715 |
+
"eval_loss": 0.18368059396743774,
|
| 1716 |
+
"eval_runtime": 2.2081,
|
| 1717 |
+
"eval_samples_per_second": 72.006,
|
| 1718 |
+
"eval_steps_per_second": 4.529,
|
| 1719 |
+
"step": 1822
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 162.93,
|
| 1723 |
+
"eval_accuracy": 0.949685534591195,
|
| 1724 |
+
"eval_loss": 0.19161438941955566,
|
| 1725 |
+
"eval_runtime": 1.9999,
|
| 1726 |
+
"eval_samples_per_second": 79.505,
|
| 1727 |
+
"eval_steps_per_second": 5.0,
|
| 1728 |
+
"step": 1833
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 164.0,
|
| 1732 |
+
"eval_accuracy": 0.949685534591195,
|
| 1733 |
+
"eval_loss": 0.22212089598178864,
|
| 1734 |
+
"eval_runtime": 2.0001,
|
| 1735 |
+
"eval_samples_per_second": 79.497,
|
| 1736 |
+
"eval_steps_per_second": 5.0,
|
| 1737 |
+
"step": 1845
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 164.44,
|
| 1741 |
+
"grad_norm": 0.5433365702629089,
|
| 1742 |
+
"learning_rate": 2.6325757575757575e-05,
|
| 1743 |
+
"loss": 0.0616,
|
| 1744 |
+
"step": 1850
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 164.98,
|
| 1748 |
+
"eval_accuracy": 0.949685534591195,
|
| 1749 |
+
"eval_loss": 0.21204246580600739,
|
| 1750 |
+
"eval_runtime": 2.035,
|
| 1751 |
+
"eval_samples_per_second": 78.132,
|
| 1752 |
+
"eval_steps_per_second": 4.914,
|
| 1753 |
+
"step": 1856
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 165.96,
|
| 1757 |
+
"eval_accuracy": 0.9559748427672956,
|
| 1758 |
+
"eval_loss": 0.18882697820663452,
|
| 1759 |
+
"eval_runtime": 2.0581,
|
| 1760 |
+
"eval_samples_per_second": 77.256,
|
| 1761 |
+
"eval_steps_per_second": 4.859,
|
| 1762 |
+
"step": 1867
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 166.93,
|
| 1766 |
+
"eval_accuracy": 0.949685534591195,
|
| 1767 |
+
"eval_loss": 0.19714578986167908,
|
| 1768 |
+
"eval_runtime": 2.002,
|
| 1769 |
+
"eval_samples_per_second": 79.422,
|
| 1770 |
+
"eval_steps_per_second": 4.995,
|
| 1771 |
+
"step": 1878
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 168.0,
|
| 1775 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1776 |
+
"eval_loss": 0.21613995730876923,
|
| 1777 |
+
"eval_runtime": 2.0979,
|
| 1778 |
+
"eval_samples_per_second": 75.789,
|
| 1779 |
+
"eval_steps_per_second": 4.767,
|
| 1780 |
+
"step": 1890
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 168.89,
|
| 1784 |
+
"grad_norm": 0.4616011083126068,
|
| 1785 |
+
"learning_rate": 2.6136363636363637e-05,
|
| 1786 |
+
"loss": 0.0467,
|
| 1787 |
+
"step": 1900
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 168.98,
|
| 1791 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1792 |
+
"eval_loss": 0.22824302315711975,
|
| 1793 |
+
"eval_runtime": 2.0023,
|
| 1794 |
+
"eval_samples_per_second": 79.407,
|
| 1795 |
+
"eval_steps_per_second": 4.994,
|
| 1796 |
+
"step": 1901
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 169.96,
|
| 1800 |
+
"eval_accuracy": 0.9056603773584906,
|
| 1801 |
+
"eval_loss": 0.31181007623672485,
|
| 1802 |
+
"eval_runtime": 2.2272,
|
| 1803 |
+
"eval_samples_per_second": 71.39,
|
| 1804 |
+
"eval_steps_per_second": 4.49,
|
| 1805 |
+
"step": 1912
|
| 1806 |
+
},
|
| 1807 |
+
{
|
| 1808 |
+
"epoch": 170.93,
|
| 1809 |
+
"eval_accuracy": 0.949685534591195,
|
| 1810 |
+
"eval_loss": 0.23191651701927185,
|
| 1811 |
+
"eval_runtime": 2.0759,
|
| 1812 |
+
"eval_samples_per_second": 76.592,
|
| 1813 |
+
"eval_steps_per_second": 4.817,
|
| 1814 |
+
"step": 1923
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 172.0,
|
| 1818 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1819 |
+
"eval_loss": 0.27404358983039856,
|
| 1820 |
+
"eval_runtime": 2.0769,
|
| 1821 |
+
"eval_samples_per_second": 76.555,
|
| 1822 |
+
"eval_steps_per_second": 4.815,
|
| 1823 |
+
"step": 1935
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 172.98,
|
| 1827 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1828 |
+
"eval_loss": 0.2666384279727936,
|
| 1829 |
+
"eval_runtime": 2.1046,
|
| 1830 |
+
"eval_samples_per_second": 75.548,
|
| 1831 |
+
"eval_steps_per_second": 4.751,
|
| 1832 |
+
"step": 1946
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 173.33,
|
| 1836 |
+
"grad_norm": 1.0961925983428955,
|
| 1837 |
+
"learning_rate": 2.59469696969697e-05,
|
| 1838 |
+
"loss": 0.0609,
|
| 1839 |
+
"step": 1950
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 173.96,
|
| 1843 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1844 |
+
"eval_loss": 0.23152852058410645,
|
| 1845 |
+
"eval_runtime": 2.0323,
|
| 1846 |
+
"eval_samples_per_second": 78.237,
|
| 1847 |
+
"eval_steps_per_second": 4.921,
|
| 1848 |
+
"step": 1957
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 174.93,
|
| 1852 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1853 |
+
"eval_loss": 0.22292692959308624,
|
| 1854 |
+
"eval_runtime": 2.0749,
|
| 1855 |
+
"eval_samples_per_second": 76.629,
|
| 1856 |
+
"eval_steps_per_second": 4.819,
|
| 1857 |
+
"step": 1968
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 176.0,
|
| 1861 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1862 |
+
"eval_loss": 0.21578945219516754,
|
| 1863 |
+
"eval_runtime": 2.0472,
|
| 1864 |
+
"eval_samples_per_second": 77.668,
|
| 1865 |
+
"eval_steps_per_second": 4.885,
|
| 1866 |
+
"step": 1980
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 176.98,
|
| 1870 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1871 |
+
"eval_loss": 0.22257991135120392,
|
| 1872 |
+
"eval_runtime": 2.1698,
|
| 1873 |
+
"eval_samples_per_second": 73.278,
|
| 1874 |
+
"eval_steps_per_second": 4.609,
|
| 1875 |
+
"step": 1991
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 177.78,
|
| 1879 |
+
"grad_norm": 1.6022953987121582,
|
| 1880 |
+
"learning_rate": 2.575757575757576e-05,
|
| 1881 |
+
"loss": 0.0522,
|
| 1882 |
+
"step": 2000
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"epoch": 177.96,
|
| 1886 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1887 |
+
"eval_loss": 0.22241446375846863,
|
| 1888 |
+
"eval_runtime": 2.0341,
|
| 1889 |
+
"eval_samples_per_second": 78.167,
|
| 1890 |
+
"eval_steps_per_second": 4.916,
|
| 1891 |
+
"step": 2002
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 178.93,
|
| 1895 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1896 |
+
"eval_loss": 0.21375904977321625,
|
| 1897 |
+
"eval_runtime": 2.1094,
|
| 1898 |
+
"eval_samples_per_second": 75.377,
|
| 1899 |
+
"eval_steps_per_second": 4.741,
|
| 1900 |
+
"step": 2013
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 180.0,
|
| 1904 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1905 |
+
"eval_loss": 0.21769364178180695,
|
| 1906 |
+
"eval_runtime": 1.9898,
|
| 1907 |
+
"eval_samples_per_second": 79.909,
|
| 1908 |
+
"eval_steps_per_second": 5.026,
|
| 1909 |
+
"step": 2025
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"epoch": 180.98,
|
| 1913 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1914 |
+
"eval_loss": 0.19169649481773376,
|
| 1915 |
+
"eval_runtime": 2.1326,
|
| 1916 |
+
"eval_samples_per_second": 74.558,
|
| 1917 |
+
"eval_steps_per_second": 4.689,
|
| 1918 |
+
"step": 2036
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 181.96,
|
| 1922 |
+
"eval_accuracy": 0.9559748427672956,
|
| 1923 |
+
"eval_loss": 0.19741381704807281,
|
| 1924 |
+
"eval_runtime": 2.1931,
|
| 1925 |
+
"eval_samples_per_second": 72.5,
|
| 1926 |
+
"eval_steps_per_second": 4.56,
|
| 1927 |
+
"step": 2047
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 182.22,
|
| 1931 |
+
"grad_norm": 0.7399430274963379,
|
| 1932 |
+
"learning_rate": 2.556818181818182e-05,
|
| 1933 |
+
"loss": 0.0515,
|
| 1934 |
+
"step": 2050
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 182.93,
|
| 1938 |
+
"eval_accuracy": 0.949685534591195,
|
| 1939 |
+
"eval_loss": 0.21981187164783478,
|
| 1940 |
+
"eval_runtime": 2.0417,
|
| 1941 |
+
"eval_samples_per_second": 77.878,
|
| 1942 |
+
"eval_steps_per_second": 4.898,
|
| 1943 |
+
"step": 2058
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 184.0,
|
| 1947 |
+
"eval_accuracy": 0.9245283018867925,
|
| 1948 |
+
"eval_loss": 0.24247391521930695,
|
| 1949 |
+
"eval_runtime": 2.1999,
|
| 1950 |
+
"eval_samples_per_second": 72.278,
|
| 1951 |
+
"eval_steps_per_second": 4.546,
|
| 1952 |
+
"step": 2070
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 184.98,
|
| 1956 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1957 |
+
"eval_loss": 0.24488882720470428,
|
| 1958 |
+
"eval_runtime": 2.0767,
|
| 1959 |
+
"eval_samples_per_second": 76.565,
|
| 1960 |
+
"eval_steps_per_second": 4.815,
|
| 1961 |
+
"step": 2081
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 185.96,
|
| 1965 |
+
"eval_accuracy": 0.9308176100628931,
|
| 1966 |
+
"eval_loss": 0.23463451862335205,
|
| 1967 |
+
"eval_runtime": 2.0674,
|
| 1968 |
+
"eval_samples_per_second": 76.907,
|
| 1969 |
+
"eval_steps_per_second": 4.837,
|
| 1970 |
+
"step": 2092
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 186.67,
|
| 1974 |
+
"grad_norm": 0.67291659116745,
|
| 1975 |
+
"learning_rate": 2.5378787878787876e-05,
|
| 1976 |
+
"loss": 0.045,
|
| 1977 |
+
"step": 2100
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 186.93,
|
| 1981 |
+
"eval_accuracy": 0.9433962264150944,
|
| 1982 |
+
"eval_loss": 0.23308323323726654,
|
| 1983 |
+
"eval_runtime": 2.2603,
|
| 1984 |
+
"eval_samples_per_second": 70.346,
|
| 1985 |
+
"eval_steps_per_second": 4.424,
|
| 1986 |
+
"step": 2103
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 188.0,
|
| 1990 |
+
"eval_accuracy": 0.9371069182389937,
|
| 1991 |
+
"eval_loss": 0.2660614252090454,
|
| 1992 |
+
"eval_runtime": 2.0509,
|
| 1993 |
+
"eval_samples_per_second": 77.527,
|
| 1994 |
+
"eval_steps_per_second": 4.876,
|
| 1995 |
+
"step": 2115
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 188.98,
|
| 1999 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2000 |
+
"eval_loss": 0.22910529375076294,
|
| 2001 |
+
"eval_runtime": 2.0536,
|
| 2002 |
+
"eval_samples_per_second": 77.423,
|
| 2003 |
+
"eval_steps_per_second": 4.869,
|
| 2004 |
+
"step": 2126
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 189.96,
|
| 2008 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2009 |
+
"eval_loss": 0.23477251827716827,
|
| 2010 |
+
"eval_runtime": 2.0092,
|
| 2011 |
+
"eval_samples_per_second": 79.134,
|
| 2012 |
+
"eval_steps_per_second": 4.977,
|
| 2013 |
+
"step": 2137
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 190.93,
|
| 2017 |
+
"eval_accuracy": 0.9433962264150944,
|
| 2018 |
+
"eval_loss": 0.23087622225284576,
|
| 2019 |
+
"eval_runtime": 2.0403,
|
| 2020 |
+
"eval_samples_per_second": 77.929,
|
| 2021 |
+
"eval_steps_per_second": 4.901,
|
| 2022 |
+
"step": 2148
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 191.11,
|
| 2026 |
+
"grad_norm": 0.11660194396972656,
|
| 2027 |
+
"learning_rate": 2.518939393939394e-05,
|
| 2028 |
+
"loss": 0.0403,
|
| 2029 |
+
"step": 2150
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"epoch": 192.0,
|
| 2033 |
+
"eval_accuracy": 0.9245283018867925,
|
| 2034 |
+
"eval_loss": 0.27889564633369446,
|
| 2035 |
+
"eval_runtime": 2.0147,
|
| 2036 |
+
"eval_samples_per_second": 78.921,
|
| 2037 |
+
"eval_steps_per_second": 4.964,
|
| 2038 |
+
"step": 2160
|
| 2039 |
+
},
|
| 2040 |
+
{
|
| 2041 |
+
"epoch": 192.98,
|
| 2042 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2043 |
+
"eval_loss": 0.2540048658847809,
|
| 2044 |
+
"eval_runtime": 2.1082,
|
| 2045 |
+
"eval_samples_per_second": 75.42,
|
| 2046 |
+
"eval_steps_per_second": 4.743,
|
| 2047 |
+
"step": 2171
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 193.96,
|
| 2051 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2052 |
+
"eval_loss": 0.23720349371433258,
|
| 2053 |
+
"eval_runtime": 2.1791,
|
| 2054 |
+
"eval_samples_per_second": 72.966,
|
| 2055 |
+
"eval_steps_per_second": 4.589,
|
| 2056 |
+
"step": 2182
|
| 2057 |
+
},
|
| 2058 |
+
{
|
| 2059 |
+
"epoch": 194.93,
|
| 2060 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2061 |
+
"eval_loss": 0.2507873773574829,
|
| 2062 |
+
"eval_runtime": 1.986,
|
| 2063 |
+
"eval_samples_per_second": 80.061,
|
| 2064 |
+
"eval_steps_per_second": 5.035,
|
| 2065 |
+
"step": 2193
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 195.56,
|
| 2069 |
+
"grad_norm": 0.8518453240394592,
|
| 2070 |
+
"learning_rate": 2.5e-05,
|
| 2071 |
+
"loss": 0.0476,
|
| 2072 |
+
"step": 2200
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 196.0,
|
| 2076 |
+
"eval_accuracy": 0.949685534591195,
|
| 2077 |
+
"eval_loss": 0.2193620353937149,
|
| 2078 |
+
"eval_runtime": 2.1819,
|
| 2079 |
+
"eval_samples_per_second": 72.874,
|
| 2080 |
+
"eval_steps_per_second": 4.583,
|
| 2081 |
+
"step": 2205
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 196.98,
|
| 2085 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2086 |
+
"eval_loss": 0.23066306114196777,
|
| 2087 |
+
"eval_runtime": 2.0482,
|
| 2088 |
+
"eval_samples_per_second": 77.628,
|
| 2089 |
+
"eval_steps_per_second": 4.882,
|
| 2090 |
+
"step": 2216
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 197.96,
|
| 2094 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2095 |
+
"eval_loss": 0.2719472646713257,
|
| 2096 |
+
"eval_runtime": 1.9901,
|
| 2097 |
+
"eval_samples_per_second": 79.896,
|
| 2098 |
+
"eval_steps_per_second": 5.025,
|
| 2099 |
+
"step": 2227
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 198.93,
|
| 2103 |
+
"eval_accuracy": 0.9245283018867925,
|
| 2104 |
+
"eval_loss": 0.28040099143981934,
|
| 2105 |
+
"eval_runtime": 2.0617,
|
| 2106 |
+
"eval_samples_per_second": 77.122,
|
| 2107 |
+
"eval_steps_per_second": 4.85,
|
| 2108 |
+
"step": 2238
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 200.0,
|
| 2112 |
+
"grad_norm": 0.09039253741502762,
|
| 2113 |
+
"learning_rate": 2.481060606060606e-05,
|
| 2114 |
+
"loss": 0.0457,
|
| 2115 |
+
"step": 2250
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 200.0,
|
| 2119 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2120 |
+
"eval_loss": 0.2755438983440399,
|
| 2121 |
+
"eval_runtime": 2.0773,
|
| 2122 |
+
"eval_samples_per_second": 76.541,
|
| 2123 |
+
"eval_steps_per_second": 4.814,
|
| 2124 |
+
"step": 2250
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 200.98,
|
| 2128 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2129 |
+
"eval_loss": 0.2353052794933319,
|
| 2130 |
+
"eval_runtime": 1.9899,
|
| 2131 |
+
"eval_samples_per_second": 79.904,
|
| 2132 |
+
"eval_steps_per_second": 5.025,
|
| 2133 |
+
"step": 2261
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 201.96,
|
| 2137 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2138 |
+
"eval_loss": 0.21893078088760376,
|
| 2139 |
+
"eval_runtime": 2.1045,
|
| 2140 |
+
"eval_samples_per_second": 75.552,
|
| 2141 |
+
"eval_steps_per_second": 4.752,
|
| 2142 |
+
"step": 2272
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"epoch": 202.93,
|
| 2146 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2147 |
+
"eval_loss": 0.21625204384326935,
|
| 2148 |
+
"eval_runtime": 2.0731,
|
| 2149 |
+
"eval_samples_per_second": 76.697,
|
| 2150 |
+
"eval_steps_per_second": 4.824,
|
| 2151 |
+
"step": 2283
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 204.0,
|
| 2155 |
+
"eval_accuracy": 0.949685534591195,
|
| 2156 |
+
"eval_loss": 0.2110479772090912,
|
| 2157 |
+
"eval_runtime": 2.1463,
|
| 2158 |
+
"eval_samples_per_second": 74.079,
|
| 2159 |
+
"eval_steps_per_second": 4.659,
|
| 2160 |
+
"step": 2295
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"epoch": 204.44,
|
| 2164 |
+
"grad_norm": 0.9943685531616211,
|
| 2165 |
+
"learning_rate": 2.4621212121212123e-05,
|
| 2166 |
+
"loss": 0.0393,
|
| 2167 |
+
"step": 2300
|
| 2168 |
+
},
|
| 2169 |
+
{
|
| 2170 |
+
"epoch": 204.98,
|
| 2171 |
+
"eval_accuracy": 0.9433962264150944,
|
| 2172 |
+
"eval_loss": 0.23164410889148712,
|
| 2173 |
+
"eval_runtime": 2.0606,
|
| 2174 |
+
"eval_samples_per_second": 77.162,
|
| 2175 |
+
"eval_steps_per_second": 4.853,
|
| 2176 |
+
"step": 2306
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 205.96,
|
| 2180 |
+
"eval_accuracy": 0.9308176100628931,
|
| 2181 |
+
"eval_loss": 0.24650876224040985,
|
| 2182 |
+
"eval_runtime": 2.0011,
|
| 2183 |
+
"eval_samples_per_second": 79.455,
|
| 2184 |
+
"eval_steps_per_second": 4.997,
|
| 2185 |
+
"step": 2317
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 206.93,
|
| 2189 |
+
"eval_accuracy": 0.9433962264150944,
|
| 2190 |
+
"eval_loss": 0.23763243854045868,
|
| 2191 |
+
"eval_runtime": 2.0999,
|
| 2192 |
+
"eval_samples_per_second": 75.719,
|
| 2193 |
+
"eval_steps_per_second": 4.762,
|
| 2194 |
+
"step": 2328
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 208.0,
|
| 2198 |
+
"eval_accuracy": 0.9433962264150944,
|
| 2199 |
+
"eval_loss": 0.2170635461807251,
|
| 2200 |
+
"eval_runtime": 2.1575,
|
| 2201 |
+
"eval_samples_per_second": 73.697,
|
| 2202 |
+
"eval_steps_per_second": 4.635,
|
| 2203 |
+
"step": 2340
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"epoch": 208.89,
|
| 2207 |
+
"grad_norm": 0.46173095703125,
|
| 2208 |
+
"learning_rate": 2.4431818181818185e-05,
|
| 2209 |
+
"loss": 0.0443,
|
| 2210 |
+
"step": 2350
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 208.98,
|
| 2214 |
+
"eval_accuracy": 0.949685534591195,
|
| 2215 |
+
"eval_loss": 0.23952844738960266,
|
| 2216 |
+
"eval_runtime": 2.0014,
|
| 2217 |
+
"eval_samples_per_second": 79.445,
|
| 2218 |
+
"eval_steps_per_second": 4.997,
|
| 2219 |
+
"step": 2351
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 209.96,
|
| 2223 |
+
"eval_accuracy": 0.8930817610062893,
|
| 2224 |
+
"eval_loss": 0.2906019687652588,
|
| 2225 |
+
"eval_runtime": 2.0133,
|
| 2226 |
+
"eval_samples_per_second": 78.977,
|
| 2227 |
+
"eval_steps_per_second": 4.967,
|
| 2228 |
+
"step": 2362
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 210.93,
|
| 2232 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2233 |
+
"eval_loss": 0.2608316242694855,
|
| 2234 |
+
"eval_runtime": 2.1558,
|
| 2235 |
+
"eval_samples_per_second": 73.755,
|
| 2236 |
+
"eval_steps_per_second": 4.639,
|
| 2237 |
+
"step": 2373
|
| 2238 |
+
},
|
| 2239 |
+
{
|
| 2240 |
+
"epoch": 212.0,
|
| 2241 |
+
"eval_accuracy": 0.949685534591195,
|
| 2242 |
+
"eval_loss": 0.23210321366786957,
|
| 2243 |
+
"eval_runtime": 2.0606,
|
| 2244 |
+
"eval_samples_per_second": 77.161,
|
| 2245 |
+
"eval_steps_per_second": 4.853,
|
| 2246 |
+
"step": 2385
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 212.98,
|
| 2250 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2251 |
+
"eval_loss": 0.24640053510665894,
|
| 2252 |
+
"eval_runtime": 2.2148,
|
| 2253 |
+
"eval_samples_per_second": 71.79,
|
| 2254 |
+
"eval_steps_per_second": 4.515,
|
| 2255 |
+
"step": 2396
|
| 2256 |
+
},
|
| 2257 |
+
{
|
| 2258 |
+
"epoch": 213.33,
|
| 2259 |
+
"grad_norm": 0.94215327501297,
|
| 2260 |
+
"learning_rate": 2.4242424242424244e-05,
|
| 2261 |
+
"loss": 0.0539,
|
| 2262 |
+
"step": 2400
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 213.96,
|
| 2266 |
+
"eval_accuracy": 0.9182389937106918,
|
| 2267 |
+
"eval_loss": 0.2441636025905609,
|
| 2268 |
+
"eval_runtime": 2.172,
|
| 2269 |
+
"eval_samples_per_second": 73.203,
|
| 2270 |
+
"eval_steps_per_second": 4.604,
|
| 2271 |
+
"step": 2407
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 214.93,
|
| 2275 |
+
"eval_accuracy": 0.9245283018867925,
|
| 2276 |
+
"eval_loss": 0.2511676847934723,
|
| 2277 |
+
"eval_runtime": 2.0176,
|
| 2278 |
+
"eval_samples_per_second": 78.806,
|
| 2279 |
+
"eval_steps_per_second": 4.956,
|
| 2280 |
+
"step": 2418
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 216.0,
|
| 2284 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2285 |
+
"eval_loss": 0.22649481892585754,
|
| 2286 |
+
"eval_runtime": 2.0103,
|
| 2287 |
+
"eval_samples_per_second": 79.091,
|
| 2288 |
+
"eval_steps_per_second": 4.974,
|
| 2289 |
+
"step": 2430
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 216.98,
|
| 2293 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2294 |
+
"eval_loss": 0.21274729073047638,
|
| 2295 |
+
"eval_runtime": 2.0508,
|
| 2296 |
+
"eval_samples_per_second": 77.529,
|
| 2297 |
+
"eval_steps_per_second": 4.876,
|
| 2298 |
+
"step": 2441
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 217.78,
|
| 2302 |
+
"grad_norm": 0.7381362318992615,
|
| 2303 |
+
"learning_rate": 2.4053030303030303e-05,
|
| 2304 |
+
"loss": 0.0415,
|
| 2305 |
+
"step": 2450
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 217.96,
|
| 2309 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2310 |
+
"eval_loss": 0.284365177154541,
|
| 2311 |
+
"eval_runtime": 2.0321,
|
| 2312 |
+
"eval_samples_per_second": 78.244,
|
| 2313 |
+
"eval_steps_per_second": 4.921,
|
| 2314 |
+
"step": 2452
|
| 2315 |
+
},
|
| 2316 |
+
{
|
| 2317 |
+
"epoch": 218.93,
|
| 2318 |
+
"eval_accuracy": 0.9433962264150944,
|
| 2319 |
+
"eval_loss": 0.24891048669815063,
|
| 2320 |
+
"eval_runtime": 2.0843,
|
| 2321 |
+
"eval_samples_per_second": 76.285,
|
| 2322 |
+
"eval_steps_per_second": 4.798,
|
| 2323 |
+
"step": 2463
|
| 2324 |
+
},
|
| 2325 |
+
{
|
| 2326 |
+
"epoch": 220.0,
|
| 2327 |
+
"eval_accuracy": 0.949685534591195,
|
| 2328 |
+
"eval_loss": 0.21200108528137207,
|
| 2329 |
+
"eval_runtime": 1.9938,
|
| 2330 |
+
"eval_samples_per_second": 79.748,
|
| 2331 |
+
"eval_steps_per_second": 5.016,
|
| 2332 |
+
"step": 2475
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"epoch": 220.98,
|
| 2336 |
+
"eval_accuracy": 0.9559748427672956,
|
| 2337 |
+
"eval_loss": 0.2015109807252884,
|
| 2338 |
+
"eval_runtime": 2.2098,
|
| 2339 |
+
"eval_samples_per_second": 71.951,
|
| 2340 |
+
"eval_steps_per_second": 4.525,
|
| 2341 |
+
"step": 2486
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 221.96,
|
| 2345 |
+
"eval_accuracy": 0.9245283018867925,
|
| 2346 |
+
"eval_loss": 0.25095799565315247,
|
| 2347 |
+
"eval_runtime": 2.0817,
|
| 2348 |
+
"eval_samples_per_second": 76.381,
|
| 2349 |
+
"eval_steps_per_second": 4.804,
|
| 2350 |
+
"step": 2497
|
| 2351 |
+
},
|
| 2352 |
+
{
|
| 2353 |
+
"epoch": 222.22,
|
| 2354 |
+
"grad_norm": 0.3756774961948395,
|
| 2355 |
+
"learning_rate": 2.3863636363636362e-05,
|
| 2356 |
+
"loss": 0.0325,
|
| 2357 |
+
"step": 2500
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"epoch": 222.93,
|
| 2361 |
+
"eval_accuracy": 0.9371069182389937,
|
| 2362 |
+
"eval_loss": 0.2875436246395111,
|
| 2363 |
+
"eval_runtime": 2.0148,
|
| 2364 |
+
"eval_samples_per_second": 78.915,
|
| 2365 |
+
"eval_steps_per_second": 4.963,
|
| 2366 |
+
"step": 2508
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 224.0,
|
| 2370 |
+
"eval_accuracy": 0.9622641509433962,
|
| 2371 |
+
"eval_loss": 0.19936275482177734,
|
| 2372 |
+
"eval_runtime": 2.0208,
|
| 2373 |
+
"eval_samples_per_second": 78.682,
|
| 2374 |
+
"eval_steps_per_second": 4.949,
|
| 2375 |
+
"step": 2520
|
| 2376 |
+
}
|
| 2377 |
+
],
|
| 2378 |
+
"logging_steps": 50,
|
| 2379 |
+
"max_steps": 8800,
|
| 2380 |
+
"num_input_tokens_seen": 0,
|
| 2381 |
+
"num_train_epochs": 800,
|
| 2382 |
+
"save_steps": 500,
|
| 2383 |
+
"total_flos": 1.406670474295296e+18,
|
| 2384 |
+
"train_batch_size": 16,
|
| 2385 |
+
"trial_name": null,
|
| 2386 |
+
"trial_params": null
|
| 2387 |
+
}
|
checkpoint-2520/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f5d4b8806b7469d1ed9eae59ee1d37cab8cefda3aafd96ccd335721fc2198f5
|
| 3 |
+
size 4984
|
checkpoint-8800/config.json
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "anderloh/Huggingface-wav2vec-2Class-easy-train-test",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForSequenceClassification"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.0,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 128,
|
| 15 |
+
"codevector_dim": 128,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": true,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
256,
|
| 20 |
+
256,
|
| 21 |
+
256,
|
| 22 |
+
256,
|
| 23 |
+
256,
|
| 24 |
+
256,
|
| 25 |
+
256
|
| 26 |
+
],
|
| 27 |
+
"conv_kernel": [
|
| 28 |
+
10,
|
| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
3,
|
| 33 |
+
2,
|
| 34 |
+
2
|
| 35 |
+
],
|
| 36 |
+
"conv_stride": [
|
| 37 |
+
5,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"ctc_loss_reduction": "sum",
|
| 46 |
+
"ctc_zero_infinity": false,
|
| 47 |
+
"diversity_loss_weight": 0.1,
|
| 48 |
+
"do_stable_layer_norm": true,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_dropout": 0.0,
|
| 52 |
+
"feat_extract_norm": "layer",
|
| 53 |
+
"feat_proj_dropout": 0.0,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
+
"final_dropout": 0.0,
|
| 56 |
+
"finetuning_task": "audio-classification",
|
| 57 |
+
"hidden_act": "gelu",
|
| 58 |
+
"hidden_dropout": 0.0,
|
| 59 |
+
"hidden_dropout_prob": 0.0,
|
| 60 |
+
"hidden_size": 384,
|
| 61 |
+
"id2label": {
|
| 62 |
+
"0": "Classic",
|
| 63 |
+
"1": "Racecar"
|
| 64 |
+
},
|
| 65 |
+
"initializer_range": 0.02,
|
| 66 |
+
"intermediate_size": 1536,
|
| 67 |
+
"label2id": {
|
| 68 |
+
"Classic": "0",
|
| 69 |
+
"Racecar": "1"
|
| 70 |
+
},
|
| 71 |
+
"layer_norm_eps": 1e-05,
|
| 72 |
+
"layerdrop": 0.0,
|
| 73 |
+
"mask_feature_length": 10,
|
| 74 |
+
"mask_feature_min_masks": 0,
|
| 75 |
+
"mask_feature_prob": 0.0,
|
| 76 |
+
"mask_time_length": 10,
|
| 77 |
+
"mask_time_min_masks": 2,
|
| 78 |
+
"mask_time_prob": 0.65,
|
| 79 |
+
"model_type": "wav2vec2",
|
| 80 |
+
"num_adapter_layers": 3,
|
| 81 |
+
"num_attention_heads": 6,
|
| 82 |
+
"num_codevector_groups": 2,
|
| 83 |
+
"num_codevectors_per_group": 320,
|
| 84 |
+
"num_conv_pos_embedding_groups": 16,
|
| 85 |
+
"num_conv_pos_embeddings": 128,
|
| 86 |
+
"num_feat_extract_layers": 7,
|
| 87 |
+
"num_hidden_layers": 6,
|
| 88 |
+
"num_negatives": 100,
|
| 89 |
+
"output_hidden_size": 384,
|
| 90 |
+
"pad_token_id": 0,
|
| 91 |
+
"proj_codevector_dim": 128,
|
| 92 |
+
"tdnn_dilation": [
|
| 93 |
+
1,
|
| 94 |
+
2,
|
| 95 |
+
3,
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"tdnn_dim": [
|
| 100 |
+
512,
|
| 101 |
+
512,
|
| 102 |
+
512,
|
| 103 |
+
512,
|
| 104 |
+
1500
|
| 105 |
+
],
|
| 106 |
+
"tdnn_kernel": [
|
| 107 |
+
5,
|
| 108 |
+
3,
|
| 109 |
+
3,
|
| 110 |
+
1,
|
| 111 |
+
1
|
| 112 |
+
],
|
| 113 |
+
"torch_dtype": "float32",
|
| 114 |
+
"transformers_version": "4.39.0.dev0",
|
| 115 |
+
"use_weighted_layer_sum": false,
|
| 116 |
+
"vocab_size": 32,
|
| 117 |
+
"xvector_output_dim": 512
|
| 118 |
+
}
|
checkpoint-8800/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eef9150298e13844952aabd41770614829ed073d0a9f348d76b24df17074c920
|
| 3 |
+
size 52149800
|
checkpoint-8800/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a38ed100248348a22bbe356bdb7ab0ec11e07281896386c8e5020aff7a513edb
|
| 3 |
+
size 95906874
|
checkpoint-8800/preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0.0,
|
| 7 |
+
"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
checkpoint-8800/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15cf0b0684785889339f774b503f43b4b1480e74dbea20d8fdcd05b896f5e7fb
|
| 3 |
+
size 14244
|
checkpoint-8800/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f0377c2c7e34286d824bf13fe88e5300e42b1edae7392199e4bf0dc0ba55519
|
| 3 |
+
size 1064
|
checkpoint-8800/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-8800/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f5d4b8806b7469d1ed9eae59ee1d37cab8cefda3aafd96ccd335721fc2198f5
|
| 3 |
+
size 4984
|
config.json
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "anderloh/Huggingface-wav2vec-2Class-easy-train-test",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForSequenceClassification"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.0,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 128,
|
| 15 |
+
"codevector_dim": 128,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": true,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
256,
|
| 20 |
+
256,
|
| 21 |
+
256,
|
| 22 |
+
256,
|
| 23 |
+
256,
|
| 24 |
+
256,
|
| 25 |
+
256
|
| 26 |
+
],
|
| 27 |
+
"conv_kernel": [
|
| 28 |
+
10,
|
| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
3,
|
| 33 |
+
2,
|
| 34 |
+
2
|
| 35 |
+
],
|
| 36 |
+
"conv_stride": [
|
| 37 |
+
5,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"ctc_loss_reduction": "sum",
|
| 46 |
+
"ctc_zero_infinity": false,
|
| 47 |
+
"diversity_loss_weight": 0.1,
|
| 48 |
+
"do_stable_layer_norm": true,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_dropout": 0.0,
|
| 52 |
+
"feat_extract_norm": "layer",
|
| 53 |
+
"feat_proj_dropout": 0.0,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
+
"final_dropout": 0.0,
|
| 56 |
+
"finetuning_task": "audio-classification",
|
| 57 |
+
"hidden_act": "gelu",
|
| 58 |
+
"hidden_dropout": 0.0,
|
| 59 |
+
"hidden_dropout_prob": 0.0,
|
| 60 |
+
"hidden_size": 384,
|
| 61 |
+
"id2label": {
|
| 62 |
+
"0": "Classic",
|
| 63 |
+
"1": "Racecar"
|
| 64 |
+
},
|
| 65 |
+
"initializer_range": 0.02,
|
| 66 |
+
"intermediate_size": 1536,
|
| 67 |
+
"label2id": {
|
| 68 |
+
"Classic": "0",
|
| 69 |
+
"Racecar": "1"
|
| 70 |
+
},
|
| 71 |
+
"layer_norm_eps": 1e-05,
|
| 72 |
+
"layerdrop": 0.0,
|
| 73 |
+
"mask_feature_length": 10,
|
| 74 |
+
"mask_feature_min_masks": 0,
|
| 75 |
+
"mask_feature_prob": 0.0,
|
| 76 |
+
"mask_time_length": 10,
|
| 77 |
+
"mask_time_min_masks": 2,
|
| 78 |
+
"mask_time_prob": 0.65,
|
| 79 |
+
"model_type": "wav2vec2",
|
| 80 |
+
"num_adapter_layers": 3,
|
| 81 |
+
"num_attention_heads": 6,
|
| 82 |
+
"num_codevector_groups": 2,
|
| 83 |
+
"num_codevectors_per_group": 320,
|
| 84 |
+
"num_conv_pos_embedding_groups": 16,
|
| 85 |
+
"num_conv_pos_embeddings": 128,
|
| 86 |
+
"num_feat_extract_layers": 7,
|
| 87 |
+
"num_hidden_layers": 6,
|
| 88 |
+
"num_negatives": 100,
|
| 89 |
+
"output_hidden_size": 384,
|
| 90 |
+
"pad_token_id": 0,
|
| 91 |
+
"proj_codevector_dim": 128,
|
| 92 |
+
"tdnn_dilation": [
|
| 93 |
+
1,
|
| 94 |
+
2,
|
| 95 |
+
3,
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"tdnn_dim": [
|
| 100 |
+
512,
|
| 101 |
+
512,
|
| 102 |
+
512,
|
| 103 |
+
512,
|
| 104 |
+
1500
|
| 105 |
+
],
|
| 106 |
+
"tdnn_kernel": [
|
| 107 |
+
5,
|
| 108 |
+
3,
|
| 109 |
+
3,
|
| 110 |
+
1,
|
| 111 |
+
1
|
| 112 |
+
],
|
| 113 |
+
"torch_dtype": "float32",
|
| 114 |
+
"transformers_version": "4.39.0.dev0",
|
| 115 |
+
"use_weighted_layer_sum": false,
|
| 116 |
+
"vocab_size": 32,
|
| 117 |
+
"xvector_output_dim": 512
|
| 118 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 782.22,
|
| 3 |
+
"eval_accuracy": 0.9622641509433962,
|
| 4 |
+
"eval_loss": 0.19936275482177734,
|
| 5 |
+
"eval_runtime": 2.0221,
|
| 6 |
+
"eval_samples_per_second": 78.632,
|
| 7 |
+
"eval_steps_per_second": 4.945
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3099375b7d1fde7be7f4a0a0f66f570bca8fc5e9b16260b822168d829977b229
|
| 3 |
+
size 52149800
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0.0,
|
| 7 |
+
"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
runs/May05_00-00-30_ml1.hpc.uio.no/events.out.tfevents.1714860068.ml1.hpc.uio.no.2787261.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d10ba29751d642668c87392aa7200a3dcb6bb53314761b5456d7499e8b31bfca
|
| 3 |
+
size 97299
|
runs/May05_00-00-30_ml1.hpc.uio.no/events.out.tfevents.1714861899.ml1.hpc.uio.no.2787261.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd746d71e04708177c4c3d5a8280b41cb44f27cfcb5e5b4120f0b286249d2d53
|
| 3 |
+
size 411
|
runs/May07_19-58-33_ml1.hpc.uio.no/events.out.tfevents.1715104725.ml1.hpc.uio.no.3712275.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac00485bcd39315de20a12410a267d2d1c8cfa739ff896dff209dadd934cf437
|
| 3 |
+
size 187716
|
runs/May07_19-58-33_ml1.hpc.uio.no/events.out.tfevents.1715108317.ml1.hpc.uio.no.3712275.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:131455410615d91c9fd424b10ed9837a3344c8d521a1f0a322c3c50c9c1c82d7
|
| 3 |
+
size 411
|
runs/May07_22-59-29_ml1.hpc.uio.no/events.out.tfevents.1715115582.ml1.hpc.uio.no.3784586.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ad72510d982067d82e3ada2f04dc8afad9aab0587e1fb8bc72640ffc2b5e5c7
|
| 3 |
+
size 296604
|
runs/May07_22-59-29_ml1.hpc.uio.no/events.out.tfevents.1715121379.ml1.hpc.uio.no.3784586.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b2f9af0915de946cb974d7e4c3aa49d75e2c8860cc6e63832549d880a1c5e7a
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 782.22,
|
| 3 |
+
"train_loss": 0.0709631282125007,
|
| 4 |
+
"train_runtime": 5794.2307,
|
| 5 |
+
"train_samples_per_second": 98.995,
|
| 6 |
+
"train_steps_per_second": 1.519
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f5d4b8806b7469d1ed9eae59ee1d37cab8cefda3aafd96ccd335721fc2198f5
|
| 3 |
+
size 4984
|