Matthew Finlayson
commited on
Commit
•
b39dcfe
1
Parent(s):
47268a8
adding model
Browse files- README.md +238 -0
- all_results.json +15 -0
- config.json +82 -0
- eval_results.json +10 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +34 -0
- train_results.json +8 -0
- trainer_state.json +1819 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,238 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: output
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# output
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on the [Lila dataset](https://github.com/allenai/Lila).
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.5884
|
| 20 |
+
- Accuracy: 0.8664
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 5e-05
|
| 40 |
+
- train_batch_size: 4
|
| 41 |
+
- eval_batch_size: 4
|
| 42 |
+
- seed: 42
|
| 43 |
+
- distributed_type: multi-GPU
|
| 44 |
+
- num_devices: 2
|
| 45 |
+
- total_train_batch_size: 8
|
| 46 |
+
- total_eval_batch_size: 8
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- num_epochs: 10.0
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
| 55 |
+
| No log | 0.06 | 100 | 0.7930 | 0.8214 |
|
| 56 |
+
| No log | 0.11 | 200 | 0.7544 | 0.8290 |
|
| 57 |
+
| No log | 0.17 | 300 | 0.7358 | 0.8328 |
|
| 58 |
+
| No log | 0.23 | 400 | 0.7192 | 0.8357 |
|
| 59 |
+
| 0.8156 | 0.28 | 500 | 0.7012 | 0.8397 |
|
| 60 |
+
| 0.8156 | 0.34 | 600 | 0.6904 | 0.8419 |
|
| 61 |
+
| 0.8156 | 0.4 | 700 | 0.6802 | 0.8440 |
|
| 62 |
+
| 0.8156 | 0.45 | 800 | 0.6670 | 0.8465 |
|
| 63 |
+
| 0.8156 | 0.51 | 900 | 0.6572 | 0.8486 |
|
| 64 |
+
| 0.7219 | 0.57 | 1000 | 0.6499 | 0.8500 |
|
| 65 |
+
| 0.7219 | 0.62 | 1100 | 0.6411 | 0.8522 |
|
| 66 |
+
| 0.7219 | 0.68 | 1200 | 0.6343 | 0.8537 |
|
| 67 |
+
| 0.7219 | 0.74 | 1300 | 0.6299 | 0.8546 |
|
| 68 |
+
| 0.7219 | 0.79 | 1400 | 0.6221 | 0.8561 |
|
| 69 |
+
| 0.662 | 0.85 | 1500 | 0.6157 | 0.8574 |
|
| 70 |
+
| 0.662 | 0.91 | 1600 | 0.6138 | 0.8579 |
|
| 71 |
+
| 0.662 | 0.96 | 1700 | 0.6055 | 0.8595 |
|
| 72 |
+
| 0.662 | 1.02 | 1800 | 0.6143 | 0.8598 |
|
| 73 |
+
| 0.662 | 1.08 | 1900 | 0.6191 | 0.8599 |
|
| 74 |
+
| 0.5707 | 1.14 | 2000 | 0.6118 | 0.8607 |
|
| 75 |
+
| 0.5707 | 1.19 | 2100 | 0.6123 | 0.8611 |
|
| 76 |
+
| 0.5707 | 1.25 | 2200 | 0.6089 | 0.8617 |
|
| 77 |
+
| 0.5707 | 1.31 | 2300 | 0.6064 | 0.8619 |
|
| 78 |
+
| 0.5707 | 1.36 | 2400 | 0.6079 | 0.8625 |
|
| 79 |
+
| 0.4923 | 1.42 | 2500 | 0.6040 | 0.8625 |
|
| 80 |
+
| 0.4923 | 1.48 | 2600 | 0.6030 | 0.8630 |
|
| 81 |
+
| 0.4923 | 1.53 | 2700 | 0.6021 | 0.8636 |
|
| 82 |
+
| 0.4923 | 1.59 | 2800 | 0.6001 | 0.8643 |
|
| 83 |
+
| 0.4923 | 1.65 | 2900 | 0.5981 | 0.8644 |
|
| 84 |
+
| 0.4909 | 1.7 | 3000 | 0.5942 | 0.8648 |
|
| 85 |
+
| 0.4909 | 1.76 | 3100 | 0.5918 | 0.8650 |
|
| 86 |
+
| 0.4909 | 1.82 | 3200 | 0.5923 | 0.8659 |
|
| 87 |
+
| 0.4909 | 1.87 | 3300 | 0.5884 | 0.8664 |
|
| 88 |
+
| 0.4909 | 1.93 | 3400 | 0.5884 | 0.8663 |
|
| 89 |
+
| 0.4964 | 1.99 | 3500 | 0.5903 | 0.8669 |
|
| 90 |
+
| 0.4964 | 2.04 | 3600 | 0.6421 | 0.8655 |
|
| 91 |
+
| 0.4964 | 2.1 | 3700 | 0.6401 | 0.8651 |
|
| 92 |
+
| 0.4964 | 2.16 | 3800 | 0.6411 | 0.8649 |
|
| 93 |
+
| 0.4964 | 2.21 | 3900 | 0.6387 | 0.8645 |
|
| 94 |
+
| 0.345 | 2.27 | 4000 | 0.6362 | 0.8654 |
|
| 95 |
+
| 0.345 | 2.33 | 4100 | 0.6362 | 0.8654 |
|
| 96 |
+
| 0.345 | 2.38 | 4200 | 0.6362 | 0.8654 |
|
| 97 |
+
| 0.345 | 2.44 | 4300 | 0.6357 | 0.8655 |
|
| 98 |
+
| 0.345 | 2.5 | 4400 | 0.6362 | 0.8656 |
|
| 99 |
+
| 0.3463 | 2.55 | 4500 | 0.6377 | 0.8658 |
|
| 100 |
+
| 0.3463 | 2.61 | 4600 | 0.6357 | 0.8660 |
|
| 101 |
+
| 0.3463 | 2.67 | 4700 | 0.6294 | 0.8665 |
|
| 102 |
+
| 0.3463 | 2.72 | 4800 | 0.6333 | 0.8665 |
|
| 103 |
+
| 0.3463 | 2.78 | 4900 | 0.6362 | 0.8662 |
|
| 104 |
+
| 0.3508 | 2.84 | 5000 | 0.6357 | 0.8666 |
|
| 105 |
+
| 0.3508 | 2.89 | 5100 | 0.6299 | 0.8673 |
|
| 106 |
+
| 0.3508 | 2.95 | 5200 | 0.6313 | 0.8668 |
|
| 107 |
+
| 0.3508 | 3.01 | 5300 | 0.7188 | 0.8646 |
|
| 108 |
+
| 0.3508 | 3.06 | 5400 | 0.7017 | 0.8656 |
|
| 109 |
+
| 0.295 | 3.12 | 5500 | 0.6982 | 0.8653 |
|
| 110 |
+
| 0.295 | 3.18 | 5600 | 0.7031 | 0.8655 |
|
| 111 |
+
| 0.295 | 3.23 | 5700 | 0.6992 | 0.8651 |
|
| 112 |
+
| 0.295 | 3.29 | 5800 | 0.6997 | 0.8653 |
|
| 113 |
+
| 0.295 | 3.35 | 5900 | 0.7041 | 0.8651 |
|
| 114 |
+
| 0.2348 | 3.41 | 6000 | 0.7075 | 0.8649 |
|
| 115 |
+
| 0.2348 | 3.46 | 6100 | 0.6992 | 0.8650 |
|
| 116 |
+
| 0.2348 | 3.52 | 6200 | 0.7065 | 0.8647 |
|
| 117 |
+
| 0.2348 | 3.58 | 6300 | 0.6997 | 0.8652 |
|
| 118 |
+
| 0.2348 | 3.63 | 6400 | 0.7026 | 0.8651 |
|
| 119 |
+
| 0.2411 | 3.69 | 6500 | 0.7046 | 0.8656 |
|
| 120 |
+
| 0.2411 | 3.75 | 6600 | 0.7007 | 0.8655 |
|
| 121 |
+
| 0.2411 | 3.8 | 6700 | 0.7026 | 0.8651 |
|
| 122 |
+
| 0.2411 | 3.86 | 6800 | 0.7031 | 0.8655 |
|
| 123 |
+
| 0.2411 | 3.92 | 6900 | 0.7012 | 0.8658 |
|
| 124 |
+
| 0.251 | 3.97 | 7000 | 0.7051 | 0.8656 |
|
| 125 |
+
| 0.251 | 4.03 | 7100 | 0.7607 | 0.8650 |
|
| 126 |
+
| 0.251 | 4.09 | 7200 | 0.7632 | 0.8656 |
|
| 127 |
+
| 0.251 | 4.14 | 7300 | 0.7588 | 0.8655 |
|
| 128 |
+
| 0.251 | 4.2 | 7400 | 0.7578 | 0.8651 |
|
| 129 |
+
| 0.1797 | 4.26 | 7500 | 0.7710 | 0.8645 |
|
| 130 |
+
| 0.1797 | 4.31 | 7600 | 0.7627 | 0.8648 |
|
| 131 |
+
| 0.1797 | 4.37 | 7700 | 0.7583 | 0.8650 |
|
| 132 |
+
| 0.1797 | 4.43 | 7800 | 0.7646 | 0.8649 |
|
| 133 |
+
| 0.1797 | 4.48 | 7900 | 0.7598 | 0.8646 |
|
| 134 |
+
| 0.1784 | 4.54 | 8000 | 0.7656 | 0.8650 |
|
| 135 |
+
| 0.1784 | 4.6 | 8100 | 0.7617 | 0.8648 |
|
| 136 |
+
| 0.1784 | 4.65 | 8200 | 0.7573 | 0.8651 |
|
| 137 |
+
| 0.1784 | 4.71 | 8300 | 0.7671 | 0.8648 |
|
| 138 |
+
| 0.1784 | 4.77 | 8400 | 0.7563 | 0.8651 |
|
| 139 |
+
| 0.1827 | 4.82 | 8500 | 0.7651 | 0.8649 |
|
| 140 |
+
| 0.1827 | 4.88 | 8600 | 0.7637 | 0.8650 |
|
| 141 |
+
| 0.1827 | 4.94 | 8700 | 0.7607 | 0.8654 |
|
| 142 |
+
| 0.1827 | 4.99 | 8800 | 0.7607 | 0.8650 |
|
| 143 |
+
| 0.1827 | 5.05 | 8900 | 0.8149 | 0.8646 |
|
| 144 |
+
| 0.167 | 5.11 | 9000 | 0.8081 | 0.8648 |
|
| 145 |
+
| 0.167 | 5.16 | 9100 | 0.8184 | 0.8644 |
|
| 146 |
+
| 0.167 | 5.22 | 9200 | 0.8140 | 0.8647 |
|
| 147 |
+
| 0.167 | 5.28 | 9300 | 0.8169 | 0.8644 |
|
| 148 |
+
| 0.167 | 5.33 | 9400 | 0.8120 | 0.8645 |
|
| 149 |
+
| 0.1371 | 5.39 | 9500 | 0.8154 | 0.8643 |
|
| 150 |
+
| 0.1371 | 5.45 | 9600 | 0.8179 | 0.8642 |
|
| 151 |
+
| 0.1371 | 5.51 | 9700 | 0.8154 | 0.8643 |
|
| 152 |
+
| 0.1371 | 5.56 | 9800 | 0.8120 | 0.8645 |
|
| 153 |
+
| 0.1371 | 5.62 | 9900 | 0.8110 | 0.8650 |
|
| 154 |
+
| 0.1425 | 5.68 | 10000 | 0.8159 | 0.8645 |
|
| 155 |
+
| 0.1425 | 5.73 | 10100 | 0.8174 | 0.8646 |
|
| 156 |
+
| 0.1425 | 5.79 | 10200 | 0.8159 | 0.8649 |
|
| 157 |
+
| 0.1425 | 5.85 | 10300 | 0.8110 | 0.8639 |
|
| 158 |
+
| 0.1425 | 5.9 | 10400 | 0.8135 | 0.8645 |
|
| 159 |
+
| 0.1505 | 5.96 | 10500 | 0.8140 | 0.8642 |
|
| 160 |
+
| 0.1505 | 6.02 | 10600 | 0.8628 | 0.8640 |
|
| 161 |
+
| 0.1505 | 6.07 | 10700 | 0.8540 | 0.8644 |
|
| 162 |
+
| 0.1505 | 6.13 | 10800 | 0.8530 | 0.8642 |
|
| 163 |
+
| 0.1505 | 6.19 | 10900 | 0.8560 | 0.8647 |
|
| 164 |
+
| 0.1086 | 6.24 | 11000 | 0.8555 | 0.8649 |
|
| 165 |
+
| 0.1086 | 6.3 | 11100 | 0.8604 | 0.8644 |
|
| 166 |
+
| 0.1086 | 6.36 | 11200 | 0.8569 | 0.8642 |
|
| 167 |
+
| 0.1086 | 6.41 | 11300 | 0.8530 | 0.8639 |
|
| 168 |
+
| 0.1086 | 6.47 | 11400 | 0.8589 | 0.8643 |
|
| 169 |
+
| 0.1076 | 6.53 | 11500 | 0.8525 | 0.8639 |
|
| 170 |
+
| 0.1076 | 6.58 | 11600 | 0.8579 | 0.8640 |
|
| 171 |
+
| 0.1076 | 6.64 | 11700 | 0.8594 | 0.8640 |
|
| 172 |
+
| 0.1076 | 6.7 | 11800 | 0.8599 | 0.8643 |
|
| 173 |
+
| 0.1076 | 6.75 | 11900 | 0.8564 | 0.8640 |
|
| 174 |
+
| 0.1109 | 6.81 | 12000 | 0.8633 | 0.8640 |
|
| 175 |
+
| 0.1109 | 6.87 | 12100 | 0.8584 | 0.8638 |
|
| 176 |
+
| 0.1109 | 6.92 | 12200 | 0.8647 | 0.8636 |
|
| 177 |
+
| 0.1109 | 6.98 | 12300 | 0.8599 | 0.8635 |
|
| 178 |
+
| 0.1109 | 7.04 | 12400 | 0.8979 | 0.8632 |
|
| 179 |
+
| 0.1028 | 7.09 | 12500 | 0.8936 | 0.8635 |
|
| 180 |
+
| 0.1028 | 7.15 | 12600 | 0.9043 | 0.8637 |
|
| 181 |
+
| 0.1028 | 7.21 | 12700 | 0.8989 | 0.8642 |
|
| 182 |
+
| 0.1028 | 7.26 | 12800 | 0.8936 | 0.8642 |
|
| 183 |
+
| 0.1028 | 7.32 | 12900 | 0.8921 | 0.8641 |
|
| 184 |
+
| 0.0774 | 7.38 | 13000 | 0.8955 | 0.8634 |
|
| 185 |
+
| 0.0774 | 7.43 | 13100 | 0.8950 | 0.8636 |
|
| 186 |
+
| 0.0774 | 7.49 | 13200 | 0.8994 | 0.8635 |
|
| 187 |
+
| 0.0774 | 7.55 | 13300 | 0.8999 | 0.8635 |
|
| 188 |
+
| 0.0774 | 7.6 | 13400 | 0.8936 | 0.8631 |
|
| 189 |
+
| 0.0852 | 7.66 | 13500 | 0.9048 | 0.8634 |
|
| 190 |
+
| 0.0852 | 7.72 | 13600 | 0.8960 | 0.8632 |
|
| 191 |
+
| 0.0852 | 7.78 | 13700 | 0.9023 | 0.8635 |
|
| 192 |
+
| 0.0852 | 7.83 | 13800 | 0.8984 | 0.8638 |
|
| 193 |
+
| 0.0852 | 7.89 | 13900 | 0.9019 | 0.8635 |
|
| 194 |
+
| 0.0879 | 7.95 | 14000 | 0.9014 | 0.8634 |
|
| 195 |
+
| 0.0879 | 8.0 | 14100 | 0.9136 | 0.8630 |
|
| 196 |
+
| 0.0879 | 8.06 | 14200 | 0.9312 | 0.8639 |
|
| 197 |
+
| 0.0879 | 8.12 | 14300 | 0.9346 | 0.8635 |
|
| 198 |
+
| 0.0879 | 8.17 | 14400 | 0.9307 | 0.8635 |
|
| 199 |
+
| 0.0611 | 8.23 | 14500 | 0.9419 | 0.8641 |
|
| 200 |
+
| 0.0611 | 8.29 | 14600 | 0.9331 | 0.8631 |
|
| 201 |
+
| 0.0611 | 8.34 | 14700 | 0.9375 | 0.8636 |
|
| 202 |
+
| 0.0611 | 8.4 | 14800 | 0.9292 | 0.8626 |
|
| 203 |
+
| 0.0611 | 8.46 | 14900 | 0.9458 | 0.8637 |
|
| 204 |
+
| 0.061 | 8.51 | 15000 | 0.9336 | 0.8634 |
|
| 205 |
+
| 0.061 | 8.57 | 15100 | 0.9409 | 0.8630 |
|
| 206 |
+
| 0.061 | 8.63 | 15200 | 0.9390 | 0.8632 |
|
| 207 |
+
| 0.061 | 8.68 | 15300 | 0.9375 | 0.8628 |
|
| 208 |
+
| 0.061 | 8.74 | 15400 | 0.9365 | 0.8630 |
|
| 209 |
+
| 0.0646 | 8.8 | 15500 | 0.9370 | 0.8628 |
|
| 210 |
+
| 0.0646 | 8.85 | 15600 | 0.9355 | 0.8629 |
|
| 211 |
+
| 0.0646 | 8.91 | 15700 | 0.9375 | 0.8632 |
|
| 212 |
+
| 0.0646 | 8.97 | 15800 | 0.9390 | 0.8630 |
|
| 213 |
+
| 0.0646 | 9.02 | 15900 | 0.9717 | 0.8630 |
|
| 214 |
+
| 0.0593 | 9.08 | 16000 | 0.9673 | 0.8626 |
|
| 215 |
+
| 0.0593 | 9.14 | 16100 | 0.9644 | 0.8630 |
|
| 216 |
+
| 0.0593 | 9.19 | 16200 | 0.9624 | 0.8631 |
|
| 217 |
+
| 0.0593 | 9.25 | 16300 | 0.9648 | 0.8633 |
|
| 218 |
+
| 0.0593 | 9.31 | 16400 | 0.9673 | 0.8632 |
|
| 219 |
+
| 0.0415 | 9.36 | 16500 | 0.9658 | 0.8633 |
|
| 220 |
+
| 0.0415 | 9.42 | 16600 | 0.9688 | 0.8628 |
|
| 221 |
+
| 0.0415 | 9.48 | 16700 | 0.9653 | 0.8632 |
|
| 222 |
+
| 0.0415 | 9.53 | 16800 | 0.9658 | 0.8628 |
|
| 223 |
+
| 0.0415 | 9.59 | 16900 | 0.9668 | 0.8629 |
|
| 224 |
+
| 0.0471 | 9.65 | 17000 | 0.9604 | 0.8625 |
|
| 225 |
+
| 0.0471 | 9.7 | 17100 | 0.9658 | 0.8621 |
|
| 226 |
+
| 0.0471 | 9.76 | 17200 | 0.9731 | 0.8630 |
|
| 227 |
+
| 0.0471 | 9.82 | 17300 | 0.9692 | 0.8626 |
|
| 228 |
+
| 0.0471 | 9.88 | 17400 | 0.9673 | 0.8623 |
|
| 229 |
+
| 0.0528 | 9.93 | 17500 | 0.9614 | 0.8620 |
|
| 230 |
+
| 0.0528 | 9.99 | 17600 | 0.9697 | 0.8621 |
|
| 231 |
+
|
| 232 |
+
|
| 233 |
+
### Framework versions
|
| 234 |
+
|
| 235 |
+
- Transformers 4.21.0.dev0
|
| 236 |
+
- Pytorch 1.12.1+cu113
|
| 237 |
+
- Datasets 2.4.0
|
| 238 |
+
- Tokenizers 0.12.1
|
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.8663780555904803,
|
| 4 |
+
"eval_loss": 0.58837890625,
|
| 5 |
+
"eval_runtime": 291.8211,
|
| 6 |
+
"eval_samples": 4315,
|
| 7 |
+
"eval_samples_per_second": 14.786,
|
| 8 |
+
"eval_steps_per_second": 1.85,
|
| 9 |
+
"perplexity": 1.8010663501633464,
|
| 10 |
+
"train_loss": 0.2421213565700847,
|
| 11 |
+
"train_runtime": 122603.1424,
|
| 12 |
+
"train_samples": 14090,
|
| 13 |
+
"train_samples_per_second": 1.149,
|
| 14 |
+
"train_steps_per_second": 0.144
|
| 15 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "EleutherAI/gpt-neo-2.7B",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPTNeoForCausalLM"
|
| 6 |
+
],
|
| 7 |
+
"attention_dropout": 0,
|
| 8 |
+
"attention_layers": [
|
| 9 |
+
"global",
|
| 10 |
+
"local",
|
| 11 |
+
"global",
|
| 12 |
+
"local",
|
| 13 |
+
"global",
|
| 14 |
+
"local",
|
| 15 |
+
"global",
|
| 16 |
+
"local",
|
| 17 |
+
"global",
|
| 18 |
+
"local",
|
| 19 |
+
"global",
|
| 20 |
+
"local",
|
| 21 |
+
"global",
|
| 22 |
+
"local",
|
| 23 |
+
"global",
|
| 24 |
+
"local",
|
| 25 |
+
"global",
|
| 26 |
+
"local",
|
| 27 |
+
"global",
|
| 28 |
+
"local",
|
| 29 |
+
"global",
|
| 30 |
+
"local",
|
| 31 |
+
"global",
|
| 32 |
+
"local",
|
| 33 |
+
"global",
|
| 34 |
+
"local",
|
| 35 |
+
"global",
|
| 36 |
+
"local",
|
| 37 |
+
"global",
|
| 38 |
+
"local",
|
| 39 |
+
"global",
|
| 40 |
+
"local"
|
| 41 |
+
],
|
| 42 |
+
"attention_types": [
|
| 43 |
+
[
|
| 44 |
+
[
|
| 45 |
+
"global",
|
| 46 |
+
"local"
|
| 47 |
+
],
|
| 48 |
+
16
|
| 49 |
+
]
|
| 50 |
+
],
|
| 51 |
+
"bos_token_id": 50256,
|
| 52 |
+
"embed_dropout": 0,
|
| 53 |
+
"eos_token_id": 50256,
|
| 54 |
+
"gradient_checkpointing": false,
|
| 55 |
+
"hidden_size": 2560,
|
| 56 |
+
"initializer_range": 0.02,
|
| 57 |
+
"intermediate_size": null,
|
| 58 |
+
"layer_norm_epsilon": 1e-05,
|
| 59 |
+
"max_position_embeddings": 2048,
|
| 60 |
+
"model_type": "gpt_neo",
|
| 61 |
+
"num_heads": 20,
|
| 62 |
+
"num_layers": 32,
|
| 63 |
+
"resid_dropout": 0,
|
| 64 |
+
"summary_activation": null,
|
| 65 |
+
"summary_first_dropout": 0.1,
|
| 66 |
+
"summary_proj_to_labels": true,
|
| 67 |
+
"summary_type": "cls_index",
|
| 68 |
+
"summary_use_proj": true,
|
| 69 |
+
"task_specific_params": {
|
| 70 |
+
"text-generation": {
|
| 71 |
+
"do_sample": true,
|
| 72 |
+
"max_length": 50,
|
| 73 |
+
"temperature": 0.9
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 77 |
+
"torch_dtype": "float16",
|
| 78 |
+
"transformers_version": "4.21.0.dev0",
|
| 79 |
+
"use_cache": true,
|
| 80 |
+
"vocab_size": 50257,
|
| 81 |
+
"window_size": 256
|
| 82 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.8663780555904803,
|
| 4 |
+
"eval_loss": 0.58837890625,
|
| 5 |
+
"eval_runtime": 291.8211,
|
| 6 |
+
"eval_samples": 4315,
|
| 7 |
+
"eval_samples_per_second": 14.786,
|
| 8 |
+
"eval_steps_per_second": 1.85,
|
| 9 |
+
"perplexity": 1.8010663501633464
|
| 10 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:078fb54c98e33d61f8d121f0b99e7bbbe3d79b6dd9f40fe7c021bedf08162fdf
|
| 3 |
+
size 5436910218
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<|endoftext|>",
|
| 3 |
+
"eos_token": "<|endoftext|>",
|
| 4 |
+
"unk_token": "<|endoftext|>"
|
| 5 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"bos_token": {
|
| 5 |
+
"__type": "AddedToken",
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"eos_token": {
|
| 13 |
+
"__type": "AddedToken",
|
| 14 |
+
"content": "<|endoftext|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": true,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"errors": "replace",
|
| 21 |
+
"model_max_length": 2048,
|
| 22 |
+
"name_or_path": "EleutherAI/gpt-neo-2.7B",
|
| 23 |
+
"pad_token": null,
|
| 24 |
+
"special_tokens_map_file": null,
|
| 25 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"__type": "AddedToken",
|
| 28 |
+
"content": "<|endoftext|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"train_loss": 0.2421213565700847,
|
| 4 |
+
"train_runtime": 122603.1424,
|
| 5 |
+
"train_samples": 14090,
|
| 6 |
+
"train_samples_per_second": 1.149,
|
| 7 |
+
"train_steps_per_second": 0.144
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1819 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.58837890625,
|
| 3 |
+
"best_model_checkpoint": "/output/checkpoint-3300",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"global_step": 17620,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.06,
|
| 12 |
+
"eval_accuracy": 0.8214358287770616,
|
| 13 |
+
"eval_loss": 0.79296875,
|
| 14 |
+
"eval_runtime": 301.7299,
|
| 15 |
+
"eval_samples_per_second": 14.301,
|
| 16 |
+
"eval_steps_per_second": 1.79,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.11,
|
| 21 |
+
"eval_accuracy": 0.828983212304709,
|
| 22 |
+
"eval_loss": 0.75439453125,
|
| 23 |
+
"eval_runtime": 295.5652,
|
| 24 |
+
"eval_samples_per_second": 14.599,
|
| 25 |
+
"eval_steps_per_second": 1.827,
|
| 26 |
+
"step": 200
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.17,
|
| 30 |
+
"eval_accuracy": 0.83275463867547,
|
| 31 |
+
"eval_loss": 0.73583984375,
|
| 32 |
+
"eval_runtime": 297.8323,
|
| 33 |
+
"eval_samples_per_second": 14.488,
|
| 34 |
+
"eval_steps_per_second": 1.813,
|
| 35 |
+
"step": 300
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 0.23,
|
| 39 |
+
"eval_accuracy": 0.8357279670702464,
|
| 40 |
+
"eval_loss": 0.71923828125,
|
| 41 |
+
"eval_runtime": 297.4382,
|
| 42 |
+
"eval_samples_per_second": 14.507,
|
| 43 |
+
"eval_steps_per_second": 1.816,
|
| 44 |
+
"step": 400
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.28,
|
| 48 |
+
"learning_rate": 5e-05,
|
| 49 |
+
"loss": 0.8156,
|
| 50 |
+
"step": 500
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.28,
|
| 54 |
+
"eval_accuracy": 0.8396754144819782,
|
| 55 |
+
"eval_loss": 0.701171875,
|
| 56 |
+
"eval_runtime": 295.955,
|
| 57 |
+
"eval_samples_per_second": 14.58,
|
| 58 |
+
"eval_steps_per_second": 1.825,
|
| 59 |
+
"step": 500
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.34,
|
| 63 |
+
"eval_accuracy": 0.8418578941585707,
|
| 64 |
+
"eval_loss": 0.6904296875,
|
| 65 |
+
"eval_runtime": 305.3997,
|
| 66 |
+
"eval_samples_per_second": 14.129,
|
| 67 |
+
"eval_steps_per_second": 1.768,
|
| 68 |
+
"step": 600
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.4,
|
| 72 |
+
"eval_accuracy": 0.8439807939976145,
|
| 73 |
+
"eval_loss": 0.68017578125,
|
| 74 |
+
"eval_runtime": 303.944,
|
| 75 |
+
"eval_samples_per_second": 14.197,
|
| 76 |
+
"eval_steps_per_second": 1.777,
|
| 77 |
+
"step": 700
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.45,
|
| 81 |
+
"eval_accuracy": 0.8464999110833223,
|
| 82 |
+
"eval_loss": 0.6669921875,
|
| 83 |
+
"eval_runtime": 297.0827,
|
| 84 |
+
"eval_samples_per_second": 14.525,
|
| 85 |
+
"eval_steps_per_second": 1.818,
|
| 86 |
+
"step": 800
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.51,
|
| 90 |
+
"eval_accuracy": 0.8485815807686252,
|
| 91 |
+
"eval_loss": 0.6572265625,
|
| 92 |
+
"eval_runtime": 292.5803,
|
| 93 |
+
"eval_samples_per_second": 14.748,
|
| 94 |
+
"eval_steps_per_second": 1.846,
|
| 95 |
+
"step": 900
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.57,
|
| 99 |
+
"learning_rate": 5e-05,
|
| 100 |
+
"loss": 0.7219,
|
| 101 |
+
"step": 1000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.57,
|
| 105 |
+
"eval_accuracy": 0.8500273546212319,
|
| 106 |
+
"eval_loss": 0.64990234375,
|
| 107 |
+
"eval_runtime": 292.7704,
|
| 108 |
+
"eval_samples_per_second": 14.739,
|
| 109 |
+
"eval_steps_per_second": 1.844,
|
| 110 |
+
"step": 1000
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.62,
|
| 114 |
+
"eval_accuracy": 0.8521808372666221,
|
| 115 |
+
"eval_loss": 0.64111328125,
|
| 116 |
+
"eval_runtime": 292.5084,
|
| 117 |
+
"eval_samples_per_second": 14.752,
|
| 118 |
+
"eval_steps_per_second": 1.846,
|
| 119 |
+
"step": 1100
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.68,
|
| 123 |
+
"eval_accuracy": 0.853712016437692,
|
| 124 |
+
"eval_loss": 0.63427734375,
|
| 125 |
+
"eval_runtime": 292.6573,
|
| 126 |
+
"eval_samples_per_second": 14.744,
|
| 127 |
+
"eval_steps_per_second": 1.845,
|
| 128 |
+
"step": 1200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.74,
|
| 132 |
+
"eval_accuracy": 0.8545884970136456,
|
| 133 |
+
"eval_loss": 0.6298828125,
|
| 134 |
+
"eval_runtime": 291.6972,
|
| 135 |
+
"eval_samples_per_second": 14.793,
|
| 136 |
+
"eval_steps_per_second": 1.851,
|
| 137 |
+
"step": 1300
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.79,
|
| 141 |
+
"eval_accuracy": 0.856088866839063,
|
| 142 |
+
"eval_loss": 0.6220703125,
|
| 143 |
+
"eval_runtime": 291.6264,
|
| 144 |
+
"eval_samples_per_second": 14.796,
|
| 145 |
+
"eval_steps_per_second": 1.852,
|
| 146 |
+
"step": 1400
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.85,
|
| 150 |
+
"learning_rate": 5e-05,
|
| 151 |
+
"loss": 0.662,
|
| 152 |
+
"step": 1500
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.85,
|
| 156 |
+
"eval_accuracy": 0.857388975917739,
|
| 157 |
+
"eval_loss": 0.61572265625,
|
| 158 |
+
"eval_runtime": 292.8293,
|
| 159 |
+
"eval_samples_per_second": 14.736,
|
| 160 |
+
"eval_steps_per_second": 1.844,
|
| 161 |
+
"step": 1500
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.91,
|
| 165 |
+
"eval_accuracy": 0.8579150001868949,
|
| 166 |
+
"eval_loss": 0.61376953125,
|
| 167 |
+
"eval_runtime": 292.6424,
|
| 168 |
+
"eval_samples_per_second": 14.745,
|
| 169 |
+
"eval_steps_per_second": 1.845,
|
| 170 |
+
"step": 1600
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.96,
|
| 174 |
+
"eval_accuracy": 0.8595497078209298,
|
| 175 |
+
"eval_loss": 0.60546875,
|
| 176 |
+
"eval_runtime": 292.7935,
|
| 177 |
+
"eval_samples_per_second": 14.737,
|
| 178 |
+
"eval_steps_per_second": 1.844,
|
| 179 |
+
"step": 1700
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.02,
|
| 183 |
+
"eval_accuracy": 0.8597678651728665,
|
| 184 |
+
"eval_loss": 0.6142578125,
|
| 185 |
+
"eval_runtime": 292.6887,
|
| 186 |
+
"eval_samples_per_second": 14.743,
|
| 187 |
+
"eval_steps_per_second": 1.845,
|
| 188 |
+
"step": 1800
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.08,
|
| 192 |
+
"eval_accuracy": 0.8598800021294695,
|
| 193 |
+
"eval_loss": 0.619140625,
|
| 194 |
+
"eval_runtime": 291.7039,
|
| 195 |
+
"eval_samples_per_second": 14.792,
|
| 196 |
+
"eval_steps_per_second": 1.851,
|
| 197 |
+
"step": 1900
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.14,
|
| 201 |
+
"learning_rate": 5e-05,
|
| 202 |
+
"loss": 0.5707,
|
| 203 |
+
"step": 2000
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.14,
|
| 207 |
+
"eval_accuracy": 0.8606622423540152,
|
| 208 |
+
"eval_loss": 0.61181640625,
|
| 209 |
+
"eval_runtime": 292.661,
|
| 210 |
+
"eval_samples_per_second": 14.744,
|
| 211 |
+
"eval_steps_per_second": 1.845,
|
| 212 |
+
"step": 2000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.19,
|
| 216 |
+
"eval_accuracy": 0.8611497549411055,
|
| 217 |
+
"eval_loss": 0.6123046875,
|
| 218 |
+
"eval_runtime": 292.734,
|
| 219 |
+
"eval_samples_per_second": 14.74,
|
| 220 |
+
"eval_steps_per_second": 1.845,
|
| 221 |
+
"step": 2100
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.25,
|
| 225 |
+
"eval_accuracy": 0.8616524456617156,
|
| 226 |
+
"eval_loss": 0.60888671875,
|
| 227 |
+
"eval_runtime": 291.6011,
|
| 228 |
+
"eval_samples_per_second": 14.798,
|
| 229 |
+
"eval_steps_per_second": 1.852,
|
| 230 |
+
"step": 2200
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.31,
|
| 234 |
+
"eval_accuracy": 0.8618950692587294,
|
| 235 |
+
"eval_loss": 0.6064453125,
|
| 236 |
+
"eval_runtime": 291.5809,
|
| 237 |
+
"eval_samples_per_second": 14.799,
|
| 238 |
+
"eval_steps_per_second": 1.852,
|
| 239 |
+
"step": 2300
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.36,
|
| 243 |
+
"eval_accuracy": 0.8625089907787176,
|
| 244 |
+
"eval_loss": 0.60791015625,
|
| 245 |
+
"eval_runtime": 292.7393,
|
| 246 |
+
"eval_samples_per_second": 14.74,
|
| 247 |
+
"eval_steps_per_second": 1.845,
|
| 248 |
+
"step": 2400
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.42,
|
| 252 |
+
"learning_rate": 5e-05,
|
| 253 |
+
"loss": 0.4923,
|
| 254 |
+
"step": 2500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.42,
|
| 258 |
+
"eval_accuracy": 0.8624713852538769,
|
| 259 |
+
"eval_loss": 0.60400390625,
|
| 260 |
+
"eval_runtime": 292.7894,
|
| 261 |
+
"eval_samples_per_second": 14.738,
|
| 262 |
+
"eval_steps_per_second": 1.844,
|
| 263 |
+
"step": 2500
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.48,
|
| 267 |
+
"eval_accuracy": 0.8630089630276525,
|
| 268 |
+
"eval_loss": 0.60302734375,
|
| 269 |
+
"eval_runtime": 291.5842,
|
| 270 |
+
"eval_samples_per_second": 14.798,
|
| 271 |
+
"eval_steps_per_second": 1.852,
|
| 272 |
+
"step": 2600
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 1.53,
|
| 276 |
+
"eval_accuracy": 0.8636167679863714,
|
| 277 |
+
"eval_loss": 0.60205078125,
|
| 278 |
+
"eval_runtime": 291.6586,
|
| 279 |
+
"eval_samples_per_second": 14.795,
|
| 280 |
+
"eval_steps_per_second": 1.851,
|
| 281 |
+
"step": 2700
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 1.59,
|
| 285 |
+
"eval_accuracy": 0.8643006901519965,
|
| 286 |
+
"eval_loss": 0.60009765625,
|
| 287 |
+
"eval_runtime": 291.5536,
|
| 288 |
+
"eval_samples_per_second": 14.8,
|
| 289 |
+
"eval_steps_per_second": 1.852,
|
| 290 |
+
"step": 2800
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.65,
|
| 294 |
+
"eval_accuracy": 0.864360949607464,
|
| 295 |
+
"eval_loss": 0.59814453125,
|
| 296 |
+
"eval_runtime": 292.9127,
|
| 297 |
+
"eval_samples_per_second": 14.731,
|
| 298 |
+
"eval_steps_per_second": 1.844,
|
| 299 |
+
"step": 2900
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.7,
|
| 303 |
+
"learning_rate": 5e-05,
|
| 304 |
+
"loss": 0.4909,
|
| 305 |
+
"step": 3000
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 1.7,
|
| 309 |
+
"eval_accuracy": 0.8647961316148062,
|
| 310 |
+
"eval_loss": 0.59423828125,
|
| 311 |
+
"eval_runtime": 292.7189,
|
| 312 |
+
"eval_samples_per_second": 14.741,
|
| 313 |
+
"eval_steps_per_second": 1.845,
|
| 314 |
+
"step": 3000
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 1.76,
|
| 318 |
+
"eval_accuracy": 0.8649898227216659,
|
| 319 |
+
"eval_loss": 0.591796875,
|
| 320 |
+
"eval_runtime": 291.4828,
|
| 321 |
+
"eval_samples_per_second": 14.804,
|
| 322 |
+
"eval_steps_per_second": 1.853,
|
| 323 |
+
"step": 3100
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 1.82,
|
| 327 |
+
"eval_accuracy": 0.8659145561698547,
|
| 328 |
+
"eval_loss": 0.59228515625,
|
| 329 |
+
"eval_runtime": 291.6085,
|
| 330 |
+
"eval_samples_per_second": 14.797,
|
| 331 |
+
"eval_steps_per_second": 1.852,
|
| 332 |
+
"step": 3200
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.87,
|
| 336 |
+
"eval_accuracy": 0.8663780555904803,
|
| 337 |
+
"eval_loss": 0.58837890625,
|
| 338 |
+
"eval_runtime": 291.6163,
|
| 339 |
+
"eval_samples_per_second": 14.797,
|
| 340 |
+
"eval_steps_per_second": 1.852,
|
| 341 |
+
"step": 3300
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 1.93,
|
| 345 |
+
"eval_accuracy": 0.8662514201182762,
|
| 346 |
+
"eval_loss": 0.58837890625,
|
| 347 |
+
"eval_runtime": 291.7936,
|
| 348 |
+
"eval_samples_per_second": 14.788,
|
| 349 |
+
"eval_steps_per_second": 1.851,
|
| 350 |
+
"step": 3400
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.99,
|
| 354 |
+
"learning_rate": 5e-05,
|
| 355 |
+
"loss": 0.4964,
|
| 356 |
+
"step": 3500
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 1.99,
|
| 360 |
+
"eval_accuracy": 0.8669489346422774,
|
| 361 |
+
"eval_loss": 0.59033203125,
|
| 362 |
+
"eval_runtime": 291.5679,
|
| 363 |
+
"eval_samples_per_second": 14.799,
|
| 364 |
+
"eval_steps_per_second": 1.852,
|
| 365 |
+
"step": 3500
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 2.04,
|
| 369 |
+
"eval_accuracy": 0.8654691798937304,
|
| 370 |
+
"eval_loss": 0.64208984375,
|
| 371 |
+
"eval_runtime": 291.7326,
|
| 372 |
+
"eval_samples_per_second": 14.791,
|
| 373 |
+
"eval_steps_per_second": 1.851,
|
| 374 |
+
"step": 3600
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 2.1,
|
| 378 |
+
"eval_accuracy": 0.8650994677459,
|
| 379 |
+
"eval_loss": 0.64013671875,
|
| 380 |
+
"eval_runtime": 293.0337,
|
| 381 |
+
"eval_samples_per_second": 14.725,
|
| 382 |
+
"eval_steps_per_second": 1.843,
|
| 383 |
+
"step": 3700
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 2.16,
|
| 387 |
+
"eval_accuracy": 0.8649474598713937,
|
| 388 |
+
"eval_loss": 0.64111328125,
|
| 389 |
+
"eval_runtime": 291.5404,
|
| 390 |
+
"eval_samples_per_second": 14.801,
|
| 391 |
+
"eval_steps_per_second": 1.852,
|
| 392 |
+
"step": 3800
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 2.21,
|
| 396 |
+
"eval_accuracy": 0.8645410483559476,
|
| 397 |
+
"eval_loss": 0.638671875,
|
| 398 |
+
"eval_runtime": 291.6679,
|
| 399 |
+
"eval_samples_per_second": 14.794,
|
| 400 |
+
"eval_steps_per_second": 1.851,
|
| 401 |
+
"step": 3900
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.27,
|
| 405 |
+
"learning_rate": 5e-05,
|
| 406 |
+
"loss": 0.345,
|
| 407 |
+
"step": 4000
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 2.27,
|
| 411 |
+
"eval_accuracy": 0.8653572694764337,
|
| 412 |
+
"eval_loss": 0.63623046875,
|
| 413 |
+
"eval_runtime": 291.7901,
|
| 414 |
+
"eval_samples_per_second": 14.788,
|
| 415 |
+
"eval_steps_per_second": 1.851,
|
| 416 |
+
"step": 4000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.33,
|
| 420 |
+
"eval_accuracy": 0.8654186616284325,
|
| 421 |
+
"eval_loss": 0.63623046875,
|
| 422 |
+
"eval_runtime": 291.6935,
|
| 423 |
+
"eval_samples_per_second": 14.793,
|
| 424 |
+
"eval_steps_per_second": 1.851,
|
| 425 |
+
"step": 4100
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 2.38,
|
| 429 |
+
"eval_accuracy": 0.8653559102405961,
|
| 430 |
+
"eval_loss": 0.63623046875,
|
| 431 |
+
"eval_runtime": 291.8601,
|
| 432 |
+
"eval_samples_per_second": 14.784,
|
| 433 |
+
"eval_steps_per_second": 1.85,
|
| 434 |
+
"step": 4200
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 2.44,
|
| 438 |
+
"eval_accuracy": 0.8654696329723429,
|
| 439 |
+
"eval_loss": 0.6357421875,
|
| 440 |
+
"eval_runtime": 292.876,
|
| 441 |
+
"eval_samples_per_second": 14.733,
|
| 442 |
+
"eval_steps_per_second": 1.844,
|
| 443 |
+
"step": 4300
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.5,
|
| 447 |
+
"eval_accuracy": 0.8655647794809758,
|
| 448 |
+
"eval_loss": 0.63623046875,
|
| 449 |
+
"eval_runtime": 291.8742,
|
| 450 |
+
"eval_samples_per_second": 14.784,
|
| 451 |
+
"eval_steps_per_second": 1.85,
|
| 452 |
+
"step": 4400
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.55,
|
| 456 |
+
"learning_rate": 5e-05,
|
| 457 |
+
"loss": 0.3463,
|
| 458 |
+
"step": 4500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.55,
|
| 462 |
+
"eval_accuracy": 0.865790865708632,
|
| 463 |
+
"eval_loss": 0.6376953125,
|
| 464 |
+
"eval_runtime": 292.8657,
|
| 465 |
+
"eval_samples_per_second": 14.734,
|
| 466 |
+
"eval_steps_per_second": 1.844,
|
| 467 |
+
"step": 4500
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 2.61,
|
| 471 |
+
"eval_accuracy": 0.8660047188137496,
|
| 472 |
+
"eval_loss": 0.6357421875,
|
| 473 |
+
"eval_runtime": 292.8962,
|
| 474 |
+
"eval_samples_per_second": 14.732,
|
| 475 |
+
"eval_steps_per_second": 1.844,
|
| 476 |
+
"step": 4600
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.67,
|
| 480 |
+
"eval_accuracy": 0.8664827167499765,
|
| 481 |
+
"eval_loss": 0.62939453125,
|
| 482 |
+
"eval_runtime": 291.8634,
|
| 483 |
+
"eval_samples_per_second": 14.784,
|
| 484 |
+
"eval_steps_per_second": 1.85,
|
| 485 |
+
"step": 4700
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.72,
|
| 489 |
+
"eval_accuracy": 0.8664838494465078,
|
| 490 |
+
"eval_loss": 0.63330078125,
|
| 491 |
+
"eval_runtime": 292.9139,
|
| 492 |
+
"eval_samples_per_second": 14.731,
|
| 493 |
+
"eval_steps_per_second": 1.844,
|
| 494 |
+
"step": 4800
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.78,
|
| 498 |
+
"eval_accuracy": 0.8661707721252445,
|
| 499 |
+
"eval_loss": 0.63623046875,
|
| 500 |
+
"eval_runtime": 291.8657,
|
| 501 |
+
"eval_samples_per_second": 14.784,
|
| 502 |
+
"eval_steps_per_second": 1.85,
|
| 503 |
+
"step": 4900
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 2.84,
|
| 507 |
+
"learning_rate": 5e-05,
|
| 508 |
+
"loss": 0.3508,
|
| 509 |
+
"step": 5000
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 2.84,
|
| 513 |
+
"eval_accuracy": 0.8666297407597449,
|
| 514 |
+
"eval_loss": 0.6357421875,
|
| 515 |
+
"eval_runtime": 291.8826,
|
| 516 |
+
"eval_samples_per_second": 14.783,
|
| 517 |
+
"eval_steps_per_second": 1.85,
|
| 518 |
+
"step": 5000
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 2.89,
|
| 522 |
+
"eval_accuracy": 0.8673172875542703,
|
| 523 |
+
"eval_loss": 0.6298828125,
|
| 524 |
+
"eval_runtime": 291.7729,
|
| 525 |
+
"eval_samples_per_second": 14.789,
|
| 526 |
+
"eval_steps_per_second": 1.851,
|
| 527 |
+
"step": 5100
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.95,
|
| 531 |
+
"eval_accuracy": 0.866801004475284,
|
| 532 |
+
"eval_loss": 0.63134765625,
|
| 533 |
+
"eval_runtime": 291.9322,
|
| 534 |
+
"eval_samples_per_second": 14.781,
|
| 535 |
+
"eval_steps_per_second": 1.85,
|
| 536 |
+
"step": 5200
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 3.01,
|
| 540 |
+
"eval_accuracy": 0.8646230555848169,
|
| 541 |
+
"eval_loss": 0.71875,
|
| 542 |
+
"eval_runtime": 291.8776,
|
| 543 |
+
"eval_samples_per_second": 14.784,
|
| 544 |
+
"eval_steps_per_second": 1.85,
|
| 545 |
+
"step": 5300
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 3.06,
|
| 549 |
+
"eval_accuracy": 0.8655867537936839,
|
| 550 |
+
"eval_loss": 0.70166015625,
|
| 551 |
+
"eval_runtime": 293.0438,
|
| 552 |
+
"eval_samples_per_second": 14.725,
|
| 553 |
+
"eval_steps_per_second": 1.843,
|
| 554 |
+
"step": 5400
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 3.12,
|
| 558 |
+
"learning_rate": 5e-05,
|
| 559 |
+
"loss": 0.295,
|
| 560 |
+
"step": 5500
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 3.12,
|
| 564 |
+
"eval_accuracy": 0.8652775276406272,
|
| 565 |
+
"eval_loss": 0.6982421875,
|
| 566 |
+
"eval_runtime": 291.9251,
|
| 567 |
+
"eval_samples_per_second": 14.781,
|
| 568 |
+
"eval_steps_per_second": 1.85,
|
| 569 |
+
"step": 5500
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 3.18,
|
| 573 |
+
"eval_accuracy": 0.8654533221422916,
|
| 574 |
+
"eval_loss": 0.703125,
|
| 575 |
+
"eval_runtime": 292.9873,
|
| 576 |
+
"eval_samples_per_second": 14.728,
|
| 577 |
+
"eval_steps_per_second": 1.843,
|
| 578 |
+
"step": 5600
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 3.23,
|
| 582 |
+
"eval_accuracy": 0.8650992412065936,
|
| 583 |
+
"eval_loss": 0.69921875,
|
| 584 |
+
"eval_runtime": 293.1169,
|
| 585 |
+
"eval_samples_per_second": 14.721,
|
| 586 |
+
"eval_steps_per_second": 1.842,
|
| 587 |
+
"step": 5700
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 3.29,
|
| 591 |
+
"eval_accuracy": 0.8652641618215573,
|
| 592 |
+
"eval_loss": 0.69970703125,
|
| 593 |
+
"eval_runtime": 293.0467,
|
| 594 |
+
"eval_samples_per_second": 14.725,
|
| 595 |
+
"eval_steps_per_second": 1.843,
|
| 596 |
+
"step": 5800
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 3.35,
|
| 600 |
+
"eval_accuracy": 0.865102865835494,
|
| 601 |
+
"eval_loss": 0.7041015625,
|
| 602 |
+
"eval_runtime": 292.9654,
|
| 603 |
+
"eval_samples_per_second": 14.729,
|
| 604 |
+
"eval_steps_per_second": 1.843,
|
| 605 |
+
"step": 5900
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 3.41,
|
| 609 |
+
"learning_rate": 5e-05,
|
| 610 |
+
"loss": 0.2348,
|
| 611 |
+
"step": 6000
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 3.41,
|
| 615 |
+
"eval_accuracy": 0.8649191424581101,
|
| 616 |
+
"eval_loss": 0.70751953125,
|
| 617 |
+
"eval_runtime": 291.6546,
|
| 618 |
+
"eval_samples_per_second": 14.795,
|
| 619 |
+
"eval_steps_per_second": 1.852,
|
| 620 |
+
"step": 6000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 3.46,
|
| 624 |
+
"eval_accuracy": 0.8649929942719536,
|
| 625 |
+
"eval_loss": 0.69921875,
|
| 626 |
+
"eval_runtime": 293.0033,
|
| 627 |
+
"eval_samples_per_second": 14.727,
|
| 628 |
+
"eval_steps_per_second": 1.843,
|
| 629 |
+
"step": 6100
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 3.52,
|
| 633 |
+
"eval_accuracy": 0.8647333802269698,
|
| 634 |
+
"eval_loss": 0.70654296875,
|
| 635 |
+
"eval_runtime": 292.0433,
|
| 636 |
+
"eval_samples_per_second": 14.775,
|
| 637 |
+
"eval_steps_per_second": 1.849,
|
| 638 |
+
"step": 6200
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 3.58,
|
| 642 |
+
"eval_accuracy": 0.8651932550186952,
|
| 643 |
+
"eval_loss": 0.69970703125,
|
| 644 |
+
"eval_runtime": 292.8338,
|
| 645 |
+
"eval_samples_per_second": 14.735,
|
| 646 |
+
"eval_steps_per_second": 1.844,
|
| 647 |
+
"step": 6300
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 3.63,
|
| 651 |
+
"eval_accuracy": 0.8651128335649698,
|
| 652 |
+
"eval_loss": 0.70263671875,
|
| 653 |
+
"eval_runtime": 291.8152,
|
| 654 |
+
"eval_samples_per_second": 14.787,
|
| 655 |
+
"eval_steps_per_second": 1.85,
|
| 656 |
+
"step": 6400
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 3.69,
|
| 660 |
+
"learning_rate": 5e-05,
|
| 661 |
+
"loss": 0.2411,
|
| 662 |
+
"step": 6500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 3.69,
|
| 666 |
+
"eval_accuracy": 0.8655713491208575,
|
| 667 |
+
"eval_loss": 0.70458984375,
|
| 668 |
+
"eval_runtime": 292.9241,
|
| 669 |
+
"eval_samples_per_second": 14.731,
|
| 670 |
+
"eval_steps_per_second": 1.843,
|
| 671 |
+
"step": 6500
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 3.75,
|
| 675 |
+
"eval_accuracy": 0.8655097304295525,
|
| 676 |
+
"eval_loss": 0.70068359375,
|
| 677 |
+
"eval_runtime": 293.0902,
|
| 678 |
+
"eval_samples_per_second": 14.722,
|
| 679 |
+
"eval_steps_per_second": 1.842,
|
| 680 |
+
"step": 6600
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 3.8,
|
| 684 |
+
"eval_accuracy": 0.8651318628666963,
|
| 685 |
+
"eval_loss": 0.70263671875,
|
| 686 |
+
"eval_runtime": 292.9879,
|
| 687 |
+
"eval_samples_per_second": 14.728,
|
| 688 |
+
"eval_steps_per_second": 1.843,
|
| 689 |
+
"step": 6700
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 3.86,
|
| 693 |
+
"eval_accuracy": 0.8654825457128003,
|
| 694 |
+
"eval_loss": 0.703125,
|
| 695 |
+
"eval_runtime": 292.8939,
|
| 696 |
+
"eval_samples_per_second": 14.732,
|
| 697 |
+
"eval_steps_per_second": 1.844,
|
| 698 |
+
"step": 6800
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.92,
|
| 702 |
+
"eval_accuracy": 0.8657906391693256,
|
| 703 |
+
"eval_loss": 0.701171875,
|
| 704 |
+
"eval_runtime": 292.7957,
|
| 705 |
+
"eval_samples_per_second": 14.737,
|
| 706 |
+
"eval_steps_per_second": 1.844,
|
| 707 |
+
"step": 6900
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 3.97,
|
| 711 |
+
"learning_rate": 5e-05,
|
| 712 |
+
"loss": 0.251,
|
| 713 |
+
"step": 7000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 3.97,
|
| 717 |
+
"eval_accuracy": 0.8656236797006056,
|
| 718 |
+
"eval_loss": 0.705078125,
|
| 719 |
+
"eval_runtime": 292.768,
|
| 720 |
+
"eval_samples_per_second": 14.739,
|
| 721 |
+
"eval_steps_per_second": 1.844,
|
| 722 |
+
"step": 7000
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 4.03,
|
| 726 |
+
"eval_accuracy": 0.8650197259100934,
|
| 727 |
+
"eval_loss": 0.7607421875,
|
| 728 |
+
"eval_runtime": 293.0243,
|
| 729 |
+
"eval_samples_per_second": 14.726,
|
| 730 |
+
"eval_steps_per_second": 1.843,
|
| 731 |
+
"step": 7100
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 4.09,
|
| 735 |
+
"eval_accuracy": 0.8655654590988946,
|
| 736 |
+
"eval_loss": 0.76318359375,
|
| 737 |
+
"eval_runtime": 293.1258,
|
| 738 |
+
"eval_samples_per_second": 14.721,
|
| 739 |
+
"eval_steps_per_second": 1.842,
|
| 740 |
+
"step": 7200
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 4.14,
|
| 744 |
+
"eval_accuracy": 0.8654986300035453,
|
| 745 |
+
"eval_loss": 0.7587890625,
|
| 746 |
+
"eval_runtime": 291.7489,
|
| 747 |
+
"eval_samples_per_second": 14.79,
|
| 748 |
+
"eval_steps_per_second": 1.851,
|
| 749 |
+
"step": 7300
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 4.2,
|
| 753 |
+
"eval_accuracy": 0.8650992412065936,
|
| 754 |
+
"eval_loss": 0.7578125,
|
| 755 |
+
"eval_runtime": 291.7365,
|
| 756 |
+
"eval_samples_per_second": 14.791,
|
| 757 |
+
"eval_steps_per_second": 1.851,
|
| 758 |
+
"step": 7400
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 4.26,
|
| 762 |
+
"learning_rate": 5e-05,
|
| 763 |
+
"loss": 0.1797,
|
| 764 |
+
"step": 7500
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 4.26,
|
| 768 |
+
"eval_accuracy": 0.8644635719132038,
|
| 769 |
+
"eval_loss": 0.77099609375,
|
| 770 |
+
"eval_runtime": 292.8962,
|
| 771 |
+
"eval_samples_per_second": 14.732,
|
| 772 |
+
"eval_steps_per_second": 1.844,
|
| 773 |
+
"step": 7500
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 4.31,
|
| 777 |
+
"eval_accuracy": 0.8648369086899346,
|
| 778 |
+
"eval_loss": 0.7626953125,
|
| 779 |
+
"eval_runtime": 291.9443,
|
| 780 |
+
"eval_samples_per_second": 14.78,
|
| 781 |
+
"eval_steps_per_second": 1.85,
|
| 782 |
+
"step": 7600
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 4.37,
|
| 786 |
+
"eval_accuracy": 0.8650006966083668,
|
| 787 |
+
"eval_loss": 0.75830078125,
|
| 788 |
+
"eval_runtime": 292.6223,
|
| 789 |
+
"eval_samples_per_second": 14.746,
|
| 790 |
+
"eval_steps_per_second": 1.845,
|
| 791 |
+
"step": 7700
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 4.43,
|
| 795 |
+
"eval_accuracy": 0.8648572972274987,
|
| 796 |
+
"eval_loss": 0.7646484375,
|
| 797 |
+
"eval_runtime": 292.6746,
|
| 798 |
+
"eval_samples_per_second": 14.743,
|
| 799 |
+
"eval_steps_per_second": 1.845,
|
| 800 |
+
"step": 7800
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 4.48,
|
| 804 |
+
"eval_accuracy": 0.8645709515443751,
|
| 805 |
+
"eval_loss": 0.759765625,
|
| 806 |
+
"eval_runtime": 292.8238,
|
| 807 |
+
"eval_samples_per_second": 14.736,
|
| 808 |
+
"eval_steps_per_second": 1.844,
|
| 809 |
+
"step": 7900
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 4.54,
|
| 813 |
+
"learning_rate": 5e-05,
|
| 814 |
+
"loss": 0.1784,
|
| 815 |
+
"step": 8000
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 4.54,
|
| 819 |
+
"eval_accuracy": 0.8649886900251346,
|
| 820 |
+
"eval_loss": 0.765625,
|
| 821 |
+
"eval_runtime": 292.7739,
|
| 822 |
+
"eval_samples_per_second": 14.738,
|
| 823 |
+
"eval_steps_per_second": 1.844,
|
| 824 |
+
"step": 8000
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 4.6,
|
| 828 |
+
"eval_accuracy": 0.8647777819309984,
|
| 829 |
+
"eval_loss": 0.76171875,
|
| 830 |
+
"eval_runtime": 291.5794,
|
| 831 |
+
"eval_samples_per_second": 14.799,
|
| 832 |
+
"eval_steps_per_second": 1.852,
|
| 833 |
+
"step": 8100
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 4.65,
|
| 837 |
+
"eval_accuracy": 0.8650895000164242,
|
| 838 |
+
"eval_loss": 0.75732421875,
|
| 839 |
+
"eval_runtime": 292.5766,
|
| 840 |
+
"eval_samples_per_second": 14.748,
|
| 841 |
+
"eval_steps_per_second": 1.846,
|
| 842 |
+
"step": 8200
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 4.71,
|
| 846 |
+
"eval_accuracy": 0.8647773288523859,
|
| 847 |
+
"eval_loss": 0.76708984375,
|
| 848 |
+
"eval_runtime": 292.8751,
|
| 849 |
+
"eval_samples_per_second": 14.733,
|
| 850 |
+
"eval_steps_per_second": 1.844,
|
| 851 |
+
"step": 8300
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 4.77,
|
| 855 |
+
"eval_accuracy": 0.8651295974736336,
|
| 856 |
+
"eval_loss": 0.75634765625,
|
| 857 |
+
"eval_runtime": 292.7435,
|
| 858 |
+
"eval_samples_per_second": 14.74,
|
| 859 |
+
"eval_steps_per_second": 1.845,
|
| 860 |
+
"step": 8400
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 4.82,
|
| 864 |
+
"learning_rate": 5e-05,
|
| 865 |
+
"loss": 0.1827,
|
| 866 |
+
"step": 8500
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 4.82,
|
| 870 |
+
"eval_accuracy": 0.8648883331124575,
|
| 871 |
+
"eval_loss": 0.76513671875,
|
| 872 |
+
"eval_runtime": 291.561,
|
| 873 |
+
"eval_samples_per_second": 14.8,
|
| 874 |
+
"eval_steps_per_second": 1.852,
|
| 875 |
+
"step": 8500
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 4.88,
|
| 879 |
+
"eval_accuracy": 0.8649513110396002,
|
| 880 |
+
"eval_loss": 0.763671875,
|
| 881 |
+
"eval_runtime": 292.871,
|
| 882 |
+
"eval_samples_per_second": 14.733,
|
| 883 |
+
"eval_steps_per_second": 1.844,
|
| 884 |
+
"step": 8600
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 4.94,
|
| 888 |
+
"eval_accuracy": 0.8653917034509865,
|
| 889 |
+
"eval_loss": 0.7607421875,
|
| 890 |
+
"eval_runtime": 292.9668,
|
| 891 |
+
"eval_samples_per_second": 14.729,
|
| 892 |
+
"eval_steps_per_second": 1.843,
|
| 893 |
+
"step": 8700
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 4.99,
|
| 897 |
+
"eval_accuracy": 0.86499322081126,
|
| 898 |
+
"eval_loss": 0.7607421875,
|
| 899 |
+
"eval_runtime": 292.8128,
|
| 900 |
+
"eval_samples_per_second": 14.736,
|
| 901 |
+
"eval_steps_per_second": 1.844,
|
| 902 |
+
"step": 8800
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 5.05,
|
| 906 |
+
"eval_accuracy": 0.8645997220362712,
|
| 907 |
+
"eval_loss": 0.81494140625,
|
| 908 |
+
"eval_runtime": 292.864,
|
| 909 |
+
"eval_samples_per_second": 14.734,
|
| 910 |
+
"eval_steps_per_second": 1.844,
|
| 911 |
+
"step": 8900
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 5.11,
|
| 915 |
+
"learning_rate": 5e-05,
|
| 916 |
+
"loss": 0.167,
|
| 917 |
+
"step": 9000
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 5.11,
|
| 921 |
+
"eval_accuracy": 0.8647852577281052,
|
| 922 |
+
"eval_loss": 0.80810546875,
|
| 923 |
+
"eval_runtime": 292.7519,
|
| 924 |
+
"eval_samples_per_second": 14.739,
|
| 925 |
+
"eval_steps_per_second": 1.845,
|
| 926 |
+
"step": 9000
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 5.16,
|
| 930 |
+
"eval_accuracy": 0.8643582311357888,
|
| 931 |
+
"eval_loss": 0.818359375,
|
| 932 |
+
"eval_runtime": 291.6434,
|
| 933 |
+
"eval_samples_per_second": 14.795,
|
| 934 |
+
"eval_steps_per_second": 1.852,
|
| 935 |
+
"step": 9100
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 5.22,
|
| 939 |
+
"eval_accuracy": 0.8647263575084754,
|
| 940 |
+
"eval_loss": 0.81396484375,
|
| 941 |
+
"eval_runtime": 292.5189,
|
| 942 |
+
"eval_samples_per_second": 14.751,
|
| 943 |
+
"eval_steps_per_second": 1.846,
|
| 944 |
+
"step": 9200
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 5.28,
|
| 948 |
+
"eval_accuracy": 0.8643802054484968,
|
| 949 |
+
"eval_loss": 0.81689453125,
|
| 950 |
+
"eval_runtime": 291.4921,
|
| 951 |
+
"eval_samples_per_second": 14.803,
|
| 952 |
+
"eval_steps_per_second": 1.853,
|
| 953 |
+
"step": 9300
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 5.33,
|
| 957 |
+
"eval_accuracy": 0.8644685557779417,
|
| 958 |
+
"eval_loss": 0.81201171875,
|
| 959 |
+
"eval_runtime": 292.6907,
|
| 960 |
+
"eval_samples_per_second": 14.743,
|
| 961 |
+
"eval_steps_per_second": 1.845,
|
| 962 |
+
"step": 9400
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 5.39,
|
| 966 |
+
"learning_rate": 5e-05,
|
| 967 |
+
"loss": 0.1371,
|
| 968 |
+
"step": 9500
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 5.39,
|
| 972 |
+
"eval_accuracy": 0.8642560619086617,
|
| 973 |
+
"eval_loss": 0.8154296875,
|
| 974 |
+
"eval_runtime": 292.8129,
|
| 975 |
+
"eval_samples_per_second": 14.736,
|
| 976 |
+
"eval_steps_per_second": 1.844,
|
| 977 |
+
"step": 9500
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 5.45,
|
| 981 |
+
"eval_accuracy": 0.8642103009687954,
|
| 982 |
+
"eval_loss": 0.81787109375,
|
| 983 |
+
"eval_runtime": 292.7443,
|
| 984 |
+
"eval_samples_per_second": 14.74,
|
| 985 |
+
"eval_steps_per_second": 1.845,
|
| 986 |
+
"step": 9600
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 5.51,
|
| 990 |
+
"eval_accuracy": 0.8642599130768682,
|
| 991 |
+
"eval_loss": 0.8154296875,
|
| 992 |
+
"eval_runtime": 291.6813,
|
| 993 |
+
"eval_samples_per_second": 14.794,
|
| 994 |
+
"eval_steps_per_second": 1.851,
|
| 995 |
+
"step": 9700
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 5.56,
|
| 999 |
+
"eval_accuracy": 0.8645023101345757,
|
| 1000 |
+
"eval_loss": 0.81201171875,
|
| 1001 |
+
"eval_runtime": 292.6716,
|
| 1002 |
+
"eval_samples_per_second": 14.743,
|
| 1003 |
+
"eval_steps_per_second": 1.845,
|
| 1004 |
+
"step": 9800
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 5.62,
|
| 1008 |
+
"eval_accuracy": 0.8649979781366915,
|
| 1009 |
+
"eval_loss": 0.81103515625,
|
| 1010 |
+
"eval_runtime": 292.7654,
|
| 1011 |
+
"eval_samples_per_second": 14.739,
|
| 1012 |
+
"eval_steps_per_second": 1.844,
|
| 1013 |
+
"step": 9900
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 5.68,
|
| 1017 |
+
"learning_rate": 5e-05,
|
| 1018 |
+
"loss": 0.1425,
|
| 1019 |
+
"step": 10000
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 5.68,
|
| 1023 |
+
"eval_accuracy": 0.8645428606703978,
|
| 1024 |
+
"eval_loss": 0.81591796875,
|
| 1025 |
+
"eval_runtime": 292.6875,
|
| 1026 |
+
"eval_samples_per_second": 14.743,
|
| 1027 |
+
"eval_steps_per_second": 1.845,
|
| 1028 |
+
"step": 10000
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 5.73,
|
| 1032 |
+
"eval_accuracy": 0.8646024405079464,
|
| 1033 |
+
"eval_loss": 0.8173828125,
|
| 1034 |
+
"eval_runtime": 292.6736,
|
| 1035 |
+
"eval_samples_per_second": 14.743,
|
| 1036 |
+
"eval_steps_per_second": 1.845,
|
| 1037 |
+
"step": 10100
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 5.79,
|
| 1041 |
+
"eval_accuracy": 0.8649073624141841,
|
| 1042 |
+
"eval_loss": 0.81591796875,
|
| 1043 |
+
"eval_runtime": 292.7868,
|
| 1044 |
+
"eval_samples_per_second": 14.738,
|
| 1045 |
+
"eval_steps_per_second": 1.844,
|
| 1046 |
+
"step": 10200
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 5.85,
|
| 1050 |
+
"eval_accuracy": 0.8639400395764169,
|
| 1051 |
+
"eval_loss": 0.81103515625,
|
| 1052 |
+
"eval_runtime": 292.8417,
|
| 1053 |
+
"eval_samples_per_second": 14.735,
|
| 1054 |
+
"eval_steps_per_second": 1.844,
|
| 1055 |
+
"step": 10300
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 5.9,
|
| 1059 |
+
"eval_accuracy": 0.8645482976137482,
|
| 1060 |
+
"eval_loss": 0.8134765625,
|
| 1061 |
+
"eval_runtime": 292.765,
|
| 1062 |
+
"eval_samples_per_second": 14.739,
|
| 1063 |
+
"eval_steps_per_second": 1.844,
|
| 1064 |
+
"step": 10400
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 5.96,
|
| 1068 |
+
"learning_rate": 5e-05,
|
| 1069 |
+
"loss": 0.1505,
|
| 1070 |
+
"step": 10500
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 5.96,
|
| 1074 |
+
"eval_accuracy": 0.8642195890803523,
|
| 1075 |
+
"eval_loss": 0.81396484375,
|
| 1076 |
+
"eval_runtime": 292.5807,
|
| 1077 |
+
"eval_samples_per_second": 14.748,
|
| 1078 |
+
"eval_steps_per_second": 1.846,
|
| 1079 |
+
"step": 10500
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 6.02,
|
| 1083 |
+
"eval_accuracy": 0.8639674508324753,
|
| 1084 |
+
"eval_loss": 0.86279296875,
|
| 1085 |
+
"eval_runtime": 292.6261,
|
| 1086 |
+
"eval_samples_per_second": 14.746,
|
| 1087 |
+
"eval_steps_per_second": 1.845,
|
| 1088 |
+
"step": 10600
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 6.07,
|
| 1092 |
+
"eval_accuracy": 0.8644205294450127,
|
| 1093 |
+
"eval_loss": 0.85400390625,
|
| 1094 |
+
"eval_runtime": 292.6297,
|
| 1095 |
+
"eval_samples_per_second": 14.746,
|
| 1096 |
+
"eval_steps_per_second": 1.845,
|
| 1097 |
+
"step": 10700
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 6.13,
|
| 1101 |
+
"eval_accuracy": 0.8642433757075105,
|
| 1102 |
+
"eval_loss": 0.85302734375,
|
| 1103 |
+
"eval_runtime": 291.5398,
|
| 1104 |
+
"eval_samples_per_second": 14.801,
|
| 1105 |
+
"eval_steps_per_second": 1.852,
|
| 1106 |
+
"step": 10800
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 6.19,
|
| 1110 |
+
"eval_accuracy": 0.8646898846801662,
|
| 1111 |
+
"eval_loss": 0.85595703125,
|
| 1112 |
+
"eval_runtime": 291.664,
|
| 1113 |
+
"eval_samples_per_second": 14.794,
|
| 1114 |
+
"eval_steps_per_second": 1.851,
|
| 1115 |
+
"step": 10900
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 6.24,
|
| 1119 |
+
"learning_rate": 5e-05,
|
| 1120 |
+
"loss": 0.1086,
|
| 1121 |
+
"step": 11000
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 6.24,
|
| 1125 |
+
"eval_accuracy": 0.864855937991661,
|
| 1126 |
+
"eval_loss": 0.85546875,
|
| 1127 |
+
"eval_runtime": 292.8292,
|
| 1128 |
+
"eval_samples_per_second": 14.736,
|
| 1129 |
+
"eval_steps_per_second": 1.844,
|
| 1130 |
+
"step": 11000
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 6.3,
|
| 1134 |
+
"eval_accuracy": 0.8643829239201721,
|
| 1135 |
+
"eval_loss": 0.8603515625,
|
| 1136 |
+
"eval_runtime": 292.6815,
|
| 1137 |
+
"eval_samples_per_second": 14.743,
|
| 1138 |
+
"eval_steps_per_second": 1.845,
|
| 1139 |
+
"step": 11100
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 6.36,
|
| 1143 |
+
"eval_accuracy": 0.8641971616890317,
|
| 1144 |
+
"eval_loss": 0.85693359375,
|
| 1145 |
+
"eval_runtime": 292.4181,
|
| 1146 |
+
"eval_samples_per_second": 14.756,
|
| 1147 |
+
"eval_steps_per_second": 1.847,
|
| 1148 |
+
"step": 11200
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 6.41,
|
| 1152 |
+
"eval_accuracy": 0.8638854436036061,
|
| 1153 |
+
"eval_loss": 0.85302734375,
|
| 1154 |
+
"eval_runtime": 293.018,
|
| 1155 |
+
"eval_samples_per_second": 14.726,
|
| 1156 |
+
"eval_steps_per_second": 1.843,
|
| 1157 |
+
"step": 11300
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 6.47,
|
| 1161 |
+
"eval_accuracy": 0.8642818873895762,
|
| 1162 |
+
"eval_loss": 0.85888671875,
|
| 1163 |
+
"eval_runtime": 291.7384,
|
| 1164 |
+
"eval_samples_per_second": 14.791,
|
| 1165 |
+
"eval_steps_per_second": 1.851,
|
| 1166 |
+
"step": 11400
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 6.53,
|
| 1170 |
+
"learning_rate": 5e-05,
|
| 1171 |
+
"loss": 0.1076,
|
| 1172 |
+
"step": 11500
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 6.53,
|
| 1176 |
+
"eval_accuracy": 0.8638872559180562,
|
| 1177 |
+
"eval_loss": 0.8525390625,
|
| 1178 |
+
"eval_runtime": 293.4652,
|
| 1179 |
+
"eval_samples_per_second": 14.704,
|
| 1180 |
+
"eval_steps_per_second": 1.84,
|
| 1181 |
+
"step": 11500
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 6.58,
|
| 1185 |
+
"eval_accuracy": 0.8640002990318842,
|
| 1186 |
+
"eval_loss": 0.85791015625,
|
| 1187 |
+
"eval_runtime": 292.9912,
|
| 1188 |
+
"eval_samples_per_second": 14.727,
|
| 1189 |
+
"eval_steps_per_second": 1.843,
|
| 1190 |
+
"step": 11600
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 6.64,
|
| 1194 |
+
"eval_accuracy": 0.8639792308764013,
|
| 1195 |
+
"eval_loss": 0.859375,
|
| 1196 |
+
"eval_runtime": 292.1362,
|
| 1197 |
+
"eval_samples_per_second": 14.771,
|
| 1198 |
+
"eval_steps_per_second": 1.848,
|
| 1199 |
+
"step": 11700
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 6.7,
|
| 1203 |
+
"eval_accuracy": 0.864300237073384,
|
| 1204 |
+
"eval_loss": 0.85986328125,
|
| 1205 |
+
"eval_runtime": 292.9015,
|
| 1206 |
+
"eval_samples_per_second": 14.732,
|
| 1207 |
+
"eval_steps_per_second": 1.844,
|
| 1208 |
+
"step": 11800
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 6.75,
|
| 1212 |
+
"eval_accuracy": 0.8639912374596336,
|
| 1213 |
+
"eval_loss": 0.8564453125,
|
| 1214 |
+
"eval_runtime": 292.927,
|
| 1215 |
+
"eval_samples_per_second": 14.731,
|
| 1216 |
+
"eval_steps_per_second": 1.843,
|
| 1217 |
+
"step": 11900
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 6.81,
|
| 1221 |
+
"learning_rate": 5e-05,
|
| 1222 |
+
"loss": 0.1109,
|
| 1223 |
+
"step": 12000
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 6.81,
|
| 1227 |
+
"eval_accuracy": 0.8640392637925625,
|
| 1228 |
+
"eval_loss": 0.86328125,
|
| 1229 |
+
"eval_runtime": 292.9284,
|
| 1230 |
+
"eval_samples_per_second": 14.731,
|
| 1231 |
+
"eval_steps_per_second": 1.843,
|
| 1232 |
+
"step": 12000
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 6.87,
|
| 1236 |
+
"eval_accuracy": 0.8638109121718437,
|
| 1237 |
+
"eval_loss": 0.8583984375,
|
| 1238 |
+
"eval_runtime": 292.6011,
|
| 1239 |
+
"eval_samples_per_second": 14.747,
|
| 1240 |
+
"eval_steps_per_second": 1.846,
|
| 1241 |
+
"step": 12100
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 6.92,
|
| 1245 |
+
"eval_accuracy": 0.863599550999095,
|
| 1246 |
+
"eval_loss": 0.86474609375,
|
| 1247 |
+
"eval_runtime": 292.8714,
|
| 1248 |
+
"eval_samples_per_second": 14.733,
|
| 1249 |
+
"eval_steps_per_second": 1.844,
|
| 1250 |
+
"step": 12200
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 6.98,
|
| 1254 |
+
"eval_accuracy": 0.8634767666950973,
|
| 1255 |
+
"eval_loss": 0.85986328125,
|
| 1256 |
+
"eval_runtime": 291.6716,
|
| 1257 |
+
"eval_samples_per_second": 14.794,
|
| 1258 |
+
"eval_steps_per_second": 1.851,
|
| 1259 |
+
"step": 12300
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 7.04,
|
| 1263 |
+
"eval_accuracy": 0.8632459231420095,
|
| 1264 |
+
"eval_loss": 0.89794921875,
|
| 1265 |
+
"eval_runtime": 292.8834,
|
| 1266 |
+
"eval_samples_per_second": 14.733,
|
| 1267 |
+
"eval_steps_per_second": 1.844,
|
| 1268 |
+
"step": 12400
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 7.09,
|
| 1272 |
+
"learning_rate": 5e-05,
|
| 1273 |
+
"loss": 0.1028,
|
| 1274 |
+
"step": 12500
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 7.09,
|
| 1278 |
+
"eval_accuracy": 0.8634595497078209,
|
| 1279 |
+
"eval_loss": 0.8935546875,
|
| 1280 |
+
"eval_runtime": 291.8248,
|
| 1281 |
+
"eval_samples_per_second": 14.786,
|
| 1282 |
+
"eval_steps_per_second": 1.85,
|
| 1283 |
+
"step": 12500
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 7.15,
|
| 1287 |
+
"eval_accuracy": 0.8637445361551069,
|
| 1288 |
+
"eval_loss": 0.904296875,
|
| 1289 |
+
"eval_runtime": 293.127,
|
| 1290 |
+
"eval_samples_per_second": 14.721,
|
| 1291 |
+
"eval_steps_per_second": 1.842,
|
| 1292 |
+
"step": 12600
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 7.21,
|
| 1296 |
+
"eval_accuracy": 0.8641618215572539,
|
| 1297 |
+
"eval_loss": 0.89892578125,
|
| 1298 |
+
"eval_runtime": 291.7379,
|
| 1299 |
+
"eval_samples_per_second": 14.791,
|
| 1300 |
+
"eval_steps_per_second": 1.851,
|
| 1301 |
+
"step": 12700
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 7.26,
|
| 1305 |
+
"eval_accuracy": 0.8641742812190987,
|
| 1306 |
+
"eval_loss": 0.8935546875,
|
| 1307 |
+
"eval_runtime": 291.8762,
|
| 1308 |
+
"eval_samples_per_second": 14.784,
|
| 1309 |
+
"eval_steps_per_second": 1.85,
|
| 1310 |
+
"step": 12800
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 7.32,
|
| 1314 |
+
"eval_accuracy": 0.8641423391769147,
|
| 1315 |
+
"eval_loss": 0.89208984375,
|
| 1316 |
+
"eval_runtime": 293.0894,
|
| 1317 |
+
"eval_samples_per_second": 14.722,
|
| 1318 |
+
"eval_steps_per_second": 1.842,
|
| 1319 |
+
"step": 12900
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 7.38,
|
| 1323 |
+
"learning_rate": 5e-05,
|
| 1324 |
+
"loss": 0.0774,
|
| 1325 |
+
"step": 13000
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 7.38,
|
| 1329 |
+
"eval_accuracy": 0.8633791282540956,
|
| 1330 |
+
"eval_loss": 0.8955078125,
|
| 1331 |
+
"eval_runtime": 292.6585,
|
| 1332 |
+
"eval_samples_per_second": 14.744,
|
| 1333 |
+
"eval_steps_per_second": 1.845,
|
| 1334 |
+
"step": 13000
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 7.43,
|
| 1338 |
+
"eval_accuracy": 0.8636269622551535,
|
| 1339 |
+
"eval_loss": 0.89501953125,
|
| 1340 |
+
"eval_runtime": 294.4392,
|
| 1341 |
+
"eval_samples_per_second": 14.655,
|
| 1342 |
+
"eval_steps_per_second": 1.834,
|
| 1343 |
+
"step": 13100
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 7.49,
|
| 1347 |
+
"eval_accuracy": 0.8635223010956573,
|
| 1348 |
+
"eval_loss": 0.8994140625,
|
| 1349 |
+
"eval_runtime": 292.0929,
|
| 1350 |
+
"eval_samples_per_second": 14.773,
|
| 1351 |
+
"eval_steps_per_second": 1.849,
|
| 1352 |
+
"step": 13200
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 7.55,
|
| 1356 |
+
"eval_accuracy": 0.8635028187153182,
|
| 1357 |
+
"eval_loss": 0.89990234375,
|
| 1358 |
+
"eval_runtime": 291.6539,
|
| 1359 |
+
"eval_samples_per_second": 14.795,
|
| 1360 |
+
"eval_steps_per_second": 1.852,
|
| 1361 |
+
"step": 13300
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 7.6,
|
| 1365 |
+
"eval_accuracy": 0.8631285757813624,
|
| 1366 |
+
"eval_loss": 0.8935546875,
|
| 1367 |
+
"eval_runtime": 293.1835,
|
| 1368 |
+
"eval_samples_per_second": 14.718,
|
| 1369 |
+
"eval_steps_per_second": 1.842,
|
| 1370 |
+
"step": 13400
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 7.66,
|
| 1374 |
+
"learning_rate": 5e-05,
|
| 1375 |
+
"loss": 0.0852,
|
| 1376 |
+
"step": 13500
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 7.66,
|
| 1380 |
+
"eval_accuracy": 0.863441879641932,
|
| 1381 |
+
"eval_loss": 0.90478515625,
|
| 1382 |
+
"eval_runtime": 292.8044,
|
| 1383 |
+
"eval_samples_per_second": 14.737,
|
| 1384 |
+
"eval_steps_per_second": 1.844,
|
| 1385 |
+
"step": 13500
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 7.72,
|
| 1389 |
+
"eval_accuracy": 0.8632284796154269,
|
| 1390 |
+
"eval_loss": 0.89599609375,
|
| 1391 |
+
"eval_runtime": 292.7129,
|
| 1392 |
+
"eval_samples_per_second": 14.741,
|
| 1393 |
+
"eval_steps_per_second": 1.845,
|
| 1394 |
+
"step": 13600
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 7.78,
|
| 1398 |
+
"eval_accuracy": 0.8634731420661971,
|
| 1399 |
+
"eval_loss": 0.90234375,
|
| 1400 |
+
"eval_runtime": 292.9408,
|
| 1401 |
+
"eval_samples_per_second": 14.73,
|
| 1402 |
+
"eval_steps_per_second": 1.843,
|
| 1403 |
+
"step": 13700
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 7.83,
|
| 1407 |
+
"eval_accuracy": 0.8638301680128765,
|
| 1408 |
+
"eval_loss": 0.8984375,
|
| 1409 |
+
"eval_runtime": 292.9793,
|
| 1410 |
+
"eval_samples_per_second": 14.728,
|
| 1411 |
+
"eval_steps_per_second": 1.843,
|
| 1412 |
+
"step": 13800
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 7.89,
|
| 1416 |
+
"eval_accuracy": 0.8635458611835093,
|
| 1417 |
+
"eval_loss": 0.90185546875,
|
| 1418 |
+
"eval_runtime": 292.8153,
|
| 1419 |
+
"eval_samples_per_second": 14.736,
|
| 1420 |
+
"eval_steps_per_second": 1.844,
|
| 1421 |
+
"step": 13900
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 7.95,
|
| 1425 |
+
"learning_rate": 5e-05,
|
| 1426 |
+
"loss": 0.0879,
|
| 1427 |
+
"step": 14000
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 7.95,
|
| 1431 |
+
"eval_accuracy": 0.863396345241372,
|
| 1432 |
+
"eval_loss": 0.9013671875,
|
| 1433 |
+
"eval_runtime": 292.8988,
|
| 1434 |
+
"eval_samples_per_second": 14.732,
|
| 1435 |
+
"eval_steps_per_second": 1.844,
|
| 1436 |
+
"step": 14000
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 8.0,
|
| 1440 |
+
"eval_accuracy": 0.8630044322415271,
|
| 1441 |
+
"eval_loss": 0.91357421875,
|
| 1442 |
+
"eval_runtime": 292.7911,
|
| 1443 |
+
"eval_samples_per_second": 14.737,
|
| 1444 |
+
"eval_steps_per_second": 1.844,
|
| 1445 |
+
"step": 14100
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 8.06,
|
| 1449 |
+
"eval_accuracy": 0.8638926928614067,
|
| 1450 |
+
"eval_loss": 0.93115234375,
|
| 1451 |
+
"eval_runtime": 292.7997,
|
| 1452 |
+
"eval_samples_per_second": 14.737,
|
| 1453 |
+
"eval_steps_per_second": 1.844,
|
| 1454 |
+
"step": 14200
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 8.12,
|
| 1458 |
+
"eval_accuracy": 0.8635213949384323,
|
| 1459 |
+
"eval_loss": 0.9345703125,
|
| 1460 |
+
"eval_runtime": 292.7958,
|
| 1461 |
+
"eval_samples_per_second": 14.737,
|
| 1462 |
+
"eval_steps_per_second": 1.844,
|
| 1463 |
+
"step": 14300
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 8.17,
|
| 1467 |
+
"eval_accuracy": 0.8635272849603952,
|
| 1468 |
+
"eval_loss": 0.9306640625,
|
| 1469 |
+
"eval_runtime": 291.7965,
|
| 1470 |
+
"eval_samples_per_second": 14.788,
|
| 1471 |
+
"eval_steps_per_second": 1.851,
|
| 1472 |
+
"step": 14400
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 8.23,
|
| 1476 |
+
"learning_rate": 5e-05,
|
| 1477 |
+
"loss": 0.0611,
|
| 1478 |
+
"step": 14500
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 8.23,
|
| 1482 |
+
"eval_accuracy": 0.8640974843942736,
|
| 1483 |
+
"eval_loss": 0.94189453125,
|
| 1484 |
+
"eval_runtime": 292.9438,
|
| 1485 |
+
"eval_samples_per_second": 14.73,
|
| 1486 |
+
"eval_steps_per_second": 1.843,
|
| 1487 |
+
"step": 14500
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 8.29,
|
| 1491 |
+
"eval_accuracy": 0.863091196795828,
|
| 1492 |
+
"eval_loss": 0.93310546875,
|
| 1493 |
+
"eval_runtime": 292.6114,
|
| 1494 |
+
"eval_samples_per_second": 14.747,
|
| 1495 |
+
"eval_steps_per_second": 1.845,
|
| 1496 |
+
"step": 14600
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 8.34,
|
| 1500 |
+
"eval_accuracy": 0.8635660231817672,
|
| 1501 |
+
"eval_loss": 0.9375,
|
| 1502 |
+
"eval_runtime": 292.5076,
|
| 1503 |
+
"eval_samples_per_second": 14.752,
|
| 1504 |
+
"eval_steps_per_second": 1.846,
|
| 1505 |
+
"step": 14700
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 8.4,
|
| 1509 |
+
"eval_accuracy": 0.8626125192416824,
|
| 1510 |
+
"eval_loss": 0.92919921875,
|
| 1511 |
+
"eval_runtime": 292.6676,
|
| 1512 |
+
"eval_samples_per_second": 14.744,
|
| 1513 |
+
"eval_steps_per_second": 1.845,
|
| 1514 |
+
"step": 14800
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 8.46,
|
| 1518 |
+
"eval_accuracy": 0.8637236945389302,
|
| 1519 |
+
"eval_loss": 0.94580078125,
|
| 1520 |
+
"eval_runtime": 291.6673,
|
| 1521 |
+
"eval_samples_per_second": 14.794,
|
| 1522 |
+
"eval_steps_per_second": 1.851,
|
| 1523 |
+
"step": 14900
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 8.51,
|
| 1527 |
+
"learning_rate": 5e-05,
|
| 1528 |
+
"loss": 0.061,
|
| 1529 |
+
"step": 15000
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 8.51,
|
| 1533 |
+
"eval_accuracy": 0.8634267015084119,
|
| 1534 |
+
"eval_loss": 0.93359375,
|
| 1535 |
+
"eval_runtime": 291.6632,
|
| 1536 |
+
"eval_samples_per_second": 14.794,
|
| 1537 |
+
"eval_steps_per_second": 1.851,
|
| 1538 |
+
"step": 15000
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 8.57,
|
| 1542 |
+
"eval_accuracy": 0.8629693186490555,
|
| 1543 |
+
"eval_loss": 0.94091796875,
|
| 1544 |
+
"eval_runtime": 292.9394,
|
| 1545 |
+
"eval_samples_per_second": 14.73,
|
| 1546 |
+
"eval_steps_per_second": 1.843,
|
| 1547 |
+
"step": 15100
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 8.63,
|
| 1551 |
+
"eval_accuracy": 0.8632108095495379,
|
| 1552 |
+
"eval_loss": 0.93896484375,
|
| 1553 |
+
"eval_runtime": 292.836,
|
| 1554 |
+
"eval_samples_per_second": 14.735,
|
| 1555 |
+
"eval_steps_per_second": 1.844,
|
| 1556 |
+
"step": 15200
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 8.68,
|
| 1560 |
+
"eval_accuracy": 0.862787634125428,
|
| 1561 |
+
"eval_loss": 0.9375,
|
| 1562 |
+
"eval_runtime": 291.5974,
|
| 1563 |
+
"eval_samples_per_second": 14.798,
|
| 1564 |
+
"eval_steps_per_second": 1.852,
|
| 1565 |
+
"step": 15300
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 8.74,
|
| 1569 |
+
"eval_accuracy": 0.8629693186490555,
|
| 1570 |
+
"eval_loss": 0.9365234375,
|
| 1571 |
+
"eval_runtime": 292.847,
|
| 1572 |
+
"eval_samples_per_second": 14.735,
|
| 1573 |
+
"eval_steps_per_second": 1.844,
|
| 1574 |
+
"step": 15400
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 8.8,
|
| 1578 |
+
"learning_rate": 5e-05,
|
| 1579 |
+
"loss": 0.0646,
|
| 1580 |
+
"step": 15500
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 8.8,
|
| 1584 |
+
"eval_accuracy": 0.8628259192681874,
|
| 1585 |
+
"eval_loss": 0.93701171875,
|
| 1586 |
+
"eval_runtime": 292.6735,
|
| 1587 |
+
"eval_samples_per_second": 14.743,
|
| 1588 |
+
"eval_steps_per_second": 1.845,
|
| 1589 |
+
"step": 15500
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 8.85,
|
| 1593 |
+
"eval_accuracy": 0.8629194800016764,
|
| 1594 |
+
"eval_loss": 0.935546875,
|
| 1595 |
+
"eval_runtime": 292.789,
|
| 1596 |
+
"eval_samples_per_second": 14.738,
|
| 1597 |
+
"eval_steps_per_second": 1.844,
|
| 1598 |
+
"step": 15600
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 8.91,
|
| 1602 |
+
"eval_accuracy": 0.8632305184691833,
|
| 1603 |
+
"eval_loss": 0.9375,
|
| 1604 |
+
"eval_runtime": 291.6374,
|
| 1605 |
+
"eval_samples_per_second": 14.796,
|
| 1606 |
+
"eval_steps_per_second": 1.852,
|
| 1607 |
+
"step": 15700
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 8.97,
|
| 1611 |
+
"eval_accuracy": 0.8629763413675499,
|
| 1612 |
+
"eval_loss": 0.93896484375,
|
| 1613 |
+
"eval_runtime": 293.0327,
|
| 1614 |
+
"eval_samples_per_second": 14.725,
|
| 1615 |
+
"eval_steps_per_second": 1.843,
|
| 1616 |
+
"step": 15800
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 9.02,
|
| 1620 |
+
"eval_accuracy": 0.8630309373403606,
|
| 1621 |
+
"eval_loss": 0.9716796875,
|
| 1622 |
+
"eval_runtime": 292.645,
|
| 1623 |
+
"eval_samples_per_second": 14.745,
|
| 1624 |
+
"eval_steps_per_second": 1.845,
|
| 1625 |
+
"step": 15900
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 9.08,
|
| 1629 |
+
"learning_rate": 5e-05,
|
| 1630 |
+
"loss": 0.0593,
|
| 1631 |
+
"step": 16000
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 9.08,
|
| 1635 |
+
"eval_accuracy": 0.8626426489694161,
|
| 1636 |
+
"eval_loss": 0.96728515625,
|
| 1637 |
+
"eval_runtime": 292.8134,
|
| 1638 |
+
"eval_samples_per_second": 14.736,
|
| 1639 |
+
"eval_steps_per_second": 1.844,
|
| 1640 |
+
"step": 16000
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 9.14,
|
| 1644 |
+
"eval_accuracy": 0.862975661749631,
|
| 1645 |
+
"eval_loss": 0.96435546875,
|
| 1646 |
+
"eval_runtime": 292.9061,
|
| 1647 |
+
"eval_samples_per_second": 14.732,
|
| 1648 |
+
"eval_steps_per_second": 1.844,
|
| 1649 |
+
"step": 16100
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 9.19,
|
| 1653 |
+
"eval_accuracy": 0.8630644651576883,
|
| 1654 |
+
"eval_loss": 0.96240234375,
|
| 1655 |
+
"eval_runtime": 293.8107,
|
| 1656 |
+
"eval_samples_per_second": 14.686,
|
| 1657 |
+
"eval_steps_per_second": 1.838,
|
| 1658 |
+
"step": 16200
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 9.25,
|
| 1662 |
+
"eval_accuracy": 0.8633050499009457,
|
| 1663 |
+
"eval_loss": 0.96484375,
|
| 1664 |
+
"eval_runtime": 291.7944,
|
| 1665 |
+
"eval_samples_per_second": 14.788,
|
| 1666 |
+
"eval_steps_per_second": 1.851,
|
| 1667 |
+
"step": 16300
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 9.31,
|
| 1671 |
+
"eval_accuracy": 0.8632493212316036,
|
| 1672 |
+
"eval_loss": 0.96728515625,
|
| 1673 |
+
"eval_runtime": 291.6912,
|
| 1674 |
+
"eval_samples_per_second": 14.793,
|
| 1675 |
+
"eval_steps_per_second": 1.851,
|
| 1676 |
+
"step": 16400
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 9.36,
|
| 1680 |
+
"learning_rate": 5e-05,
|
| 1681 |
+
"loss": 0.0415,
|
| 1682 |
+
"step": 16500
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 9.36,
|
| 1686 |
+
"eval_accuracy": 0.8633073152940084,
|
| 1687 |
+
"eval_loss": 0.9658203125,
|
| 1688 |
+
"eval_runtime": 291.6781,
|
| 1689 |
+
"eval_samples_per_second": 14.794,
|
| 1690 |
+
"eval_steps_per_second": 1.851,
|
| 1691 |
+
"step": 16500
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 9.42,
|
| 1695 |
+
"eval_accuracy": 0.8627819706427713,
|
| 1696 |
+
"eval_loss": 0.96875,
|
| 1697 |
+
"eval_runtime": 292.5363,
|
| 1698 |
+
"eval_samples_per_second": 14.75,
|
| 1699 |
+
"eval_steps_per_second": 1.846,
|
| 1700 |
+
"step": 16600
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 9.48,
|
| 1704 |
+
"eval_accuracy": 0.8632289326940394,
|
| 1705 |
+
"eval_loss": 0.96533203125,
|
| 1706 |
+
"eval_runtime": 292.6096,
|
| 1707 |
+
"eval_samples_per_second": 14.747,
|
| 1708 |
+
"eval_steps_per_second": 1.845,
|
| 1709 |
+
"step": 16700
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 9.53,
|
| 1713 |
+
"eval_accuracy": 0.862821388482062,
|
| 1714 |
+
"eval_loss": 0.9658203125,
|
| 1715 |
+
"eval_runtime": 291.5436,
|
| 1716 |
+
"eval_samples_per_second": 14.801,
|
| 1717 |
+
"eval_steps_per_second": 1.852,
|
| 1718 |
+
"step": 16800
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 9.59,
|
| 1722 |
+
"eval_accuracy": 0.8629199330802889,
|
| 1723 |
+
"eval_loss": 0.966796875,
|
| 1724 |
+
"eval_runtime": 292.7541,
|
| 1725 |
+
"eval_samples_per_second": 14.739,
|
| 1726 |
+
"eval_steps_per_second": 1.845,
|
| 1727 |
+
"step": 16900
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 9.65,
|
| 1731 |
+
"learning_rate": 5e-05,
|
| 1732 |
+
"loss": 0.0471,
|
| 1733 |
+
"step": 17000
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 9.65,
|
| 1737 |
+
"eval_accuracy": 0.8625384408885325,
|
| 1738 |
+
"eval_loss": 0.96044921875,
|
| 1739 |
+
"eval_runtime": 292.6838,
|
| 1740 |
+
"eval_samples_per_second": 14.743,
|
| 1741 |
+
"eval_steps_per_second": 1.845,
|
| 1742 |
+
"step": 17000
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 9.7,
|
| 1746 |
+
"eval_accuracy": 0.8620747149286004,
|
| 1747 |
+
"eval_loss": 0.9658203125,
|
| 1748 |
+
"eval_runtime": 291.636,
|
| 1749 |
+
"eval_samples_per_second": 14.796,
|
| 1750 |
+
"eval_steps_per_second": 1.852,
|
| 1751 |
+
"step": 17100
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 9.76,
|
| 1755 |
+
"eval_accuracy": 0.8629695451883618,
|
| 1756 |
+
"eval_loss": 0.97314453125,
|
| 1757 |
+
"eval_runtime": 291.7564,
|
| 1758 |
+
"eval_samples_per_second": 14.79,
|
| 1759 |
+
"eval_steps_per_second": 1.851,
|
| 1760 |
+
"step": 17200
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 9.82,
|
| 1764 |
+
"eval_accuracy": 0.8626276973752023,
|
| 1765 |
+
"eval_loss": 0.96923828125,
|
| 1766 |
+
"eval_runtime": 291.4249,
|
| 1767 |
+
"eval_samples_per_second": 14.807,
|
| 1768 |
+
"eval_steps_per_second": 1.853,
|
| 1769 |
+
"step": 17300
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 9.88,
|
| 1773 |
+
"eval_accuracy": 0.8622577586880655,
|
| 1774 |
+
"eval_loss": 0.96728515625,
|
| 1775 |
+
"eval_runtime": 291.5949,
|
| 1776 |
+
"eval_samples_per_second": 14.798,
|
| 1777 |
+
"eval_steps_per_second": 1.852,
|
| 1778 |
+
"step": 17400
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 9.93,
|
| 1782 |
+
"learning_rate": 5e-05,
|
| 1783 |
+
"loss": 0.0528,
|
| 1784 |
+
"step": 17500
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 9.93,
|
| 1788 |
+
"eval_accuracy": 0.8619999569575318,
|
| 1789 |
+
"eval_loss": 0.96142578125,
|
| 1790 |
+
"eval_runtime": 292.6583,
|
| 1791 |
+
"eval_samples_per_second": 14.744,
|
| 1792 |
+
"eval_steps_per_second": 1.845,
|
| 1793 |
+
"step": 17500
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 9.99,
|
| 1797 |
+
"eval_accuracy": 0.8620715433783127,
|
| 1798 |
+
"eval_loss": 0.9697265625,
|
| 1799 |
+
"eval_runtime": 291.7031,
|
| 1800 |
+
"eval_samples_per_second": 14.792,
|
| 1801 |
+
"eval_steps_per_second": 1.851,
|
| 1802 |
+
"step": 17600
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 10.0,
|
| 1806 |
+
"step": 17620,
|
| 1807 |
+
"total_flos": 2.179292736824279e+18,
|
| 1808 |
+
"train_loss": 0.2421213565700847,
|
| 1809 |
+
"train_runtime": 122603.1424,
|
| 1810 |
+
"train_samples_per_second": 1.149,
|
| 1811 |
+
"train_steps_per_second": 0.144
|
| 1812 |
+
}
|
| 1813 |
+
],
|
| 1814 |
+
"max_steps": 17620,
|
| 1815 |
+
"num_train_epochs": 10,
|
| 1816 |
+
"total_flos": 2.179292736824279e+18,
|
| 1817 |
+
"trial_name": null,
|
| 1818 |
+
"trial_params": null
|
| 1819 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1329a0f14c187b18f591e204cf458a0fc5d096cbe27c3326c557bbea66879f40
|
| 3 |
+
size 4463
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|