End of training
Browse files- README.md +281 -0
- config.json +37 -0
- generation_config.json +11 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: mit
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| 3 |
+
base_model: facebook/m2m100_418M
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
model-index:
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| 7 |
+
- name: output
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| 8 |
+
results: []
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 12 |
+
should probably proofread and complete it, then remove this comment. -->
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| 13 |
+
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| 14 |
+
# output
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| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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| 17 |
+
It achieves the following results on the evaluation set:
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| 18 |
+
- Loss: 0.6652
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| 19 |
+
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| 20 |
+
## Model description
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| 21 |
+
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| 22 |
+
More information needed
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| 23 |
+
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| 24 |
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## Intended uses & limitations
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| 25 |
+
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| 26 |
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More information needed
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| 27 |
+
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| 28 |
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## Training and evaluation data
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| 29 |
+
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| 30 |
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More information needed
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| 31 |
+
|
| 32 |
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## Training procedure
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| 33 |
+
|
| 34 |
+
### Training hyperparameters
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| 35 |
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| 36 |
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The following hyperparameters were used during training:
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| 37 |
+
- learning_rate: 5e-05
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| 38 |
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- train_batch_size: 8
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| 39 |
+
- eval_batch_size: 8
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| 40 |
+
- seed: 42
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| 41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 42 |
+
- lr_scheduler_type: linear
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| 43 |
+
- num_epochs: 15
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| 44 |
+
|
| 45 |
+
### Training results
|
| 46 |
+
|
| 47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 48 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 49 |
+
| 3.8819 | 0.07 | 100 | 0.7677 |
|
| 50 |
+
| 0.7529 | 0.13 | 200 | 0.6311 |
|
| 51 |
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| 0.6575 | 0.2 | 300 | 0.6079 |
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| 52 |
+
| 0.6478 | 0.27 | 400 | 0.5925 |
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| 53 |
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| 0.5882 | 0.33 | 500 | 0.5750 |
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| 54 |
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| 0.5882 | 0.4 | 600 | 0.5681 |
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| 55 |
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| 0.5635 | 0.47 | 700 | 0.5575 |
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| 56 |
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| 0.6301 | 0.53 | 800 | 0.5525 |
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| 57 |
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| 0.5667 | 0.6 | 900 | 0.5472 |
|
| 58 |
+
| 0.5591 | 0.66 | 1000 | 0.5430 |
|
| 59 |
+
| 0.5761 | 0.73 | 1100 | 0.5298 |
|
| 60 |
+
| 0.556 | 0.8 | 1200 | 0.5318 |
|
| 61 |
+
| 0.5664 | 0.86 | 1300 | 0.5235 |
|
| 62 |
+
| 0.5494 | 0.93 | 1400 | 0.5200 |
|
| 63 |
+
| 0.5416 | 1.0 | 1500 | 0.5171 |
|
| 64 |
+
| 0.4251 | 1.06 | 1600 | 0.5248 |
|
| 65 |
+
| 0.4447 | 1.13 | 1700 | 0.5271 |
|
| 66 |
+
| 0.437 | 1.2 | 1800 | 0.5172 |
|
| 67 |
+
| 0.4064 | 1.26 | 1900 | 0.5146 |
|
| 68 |
+
| 0.413 | 1.33 | 2000 | 0.5130 |
|
| 69 |
+
| 0.4364 | 1.4 | 2100 | 0.5132 |
|
| 70 |
+
| 0.4002 | 1.46 | 2200 | 0.5203 |
|
| 71 |
+
| 0.4441 | 1.53 | 2300 | 0.5078 |
|
| 72 |
+
| 0.4179 | 1.6 | 2400 | 0.5057 |
|
| 73 |
+
| 0.4438 | 1.66 | 2500 | 0.5039 |
|
| 74 |
+
| 0.4394 | 1.73 | 2600 | 0.5064 |
|
| 75 |
+
| 0.4581 | 1.8 | 2700 | 0.5007 |
|
| 76 |
+
| 0.4366 | 1.86 | 2800 | 0.4977 |
|
| 77 |
+
| 0.4464 | 1.93 | 2900 | 0.4965 |
|
| 78 |
+
| 0.447 | 1.99 | 3000 | 0.4940 |
|
| 79 |
+
| 0.3333 | 2.06 | 3100 | 0.5052 |
|
| 80 |
+
| 0.3355 | 2.13 | 3200 | 0.5053 |
|
| 81 |
+
| 0.3227 | 2.19 | 3300 | 0.5066 |
|
| 82 |
+
| 0.3298 | 2.26 | 3400 | 0.5072 |
|
| 83 |
+
| 0.3276 | 2.33 | 3500 | 0.5075 |
|
| 84 |
+
| 0.3252 | 2.39 | 3600 | 0.5025 |
|
| 85 |
+
| 0.3132 | 2.46 | 3700 | 0.5022 |
|
| 86 |
+
| 0.3247 | 2.53 | 3800 | 0.5062 |
|
| 87 |
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| 0.3311 | 2.59 | 3900 | 0.5010 |
|
| 88 |
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| 0.3385 | 2.66 | 4000 | 0.5019 |
|
| 89 |
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| 0.3496 | 2.73 | 4100 | 0.5010 |
|
| 90 |
+
| 0.3164 | 2.79 | 4200 | 0.4975 |
|
| 91 |
+
| 0.3458 | 2.86 | 4300 | 0.4989 |
|
| 92 |
+
| 0.3288 | 2.93 | 4400 | 0.5002 |
|
| 93 |
+
| 0.3341 | 2.99 | 4500 | 0.5034 |
|
| 94 |
+
| 0.2293 | 3.06 | 4600 | 0.5090 |
|
| 95 |
+
| 0.2301 | 3.12 | 4700 | 0.5108 |
|
| 96 |
+
| 0.2253 | 3.19 | 4800 | 0.5088 |
|
| 97 |
+
| 0.2288 | 3.26 | 4900 | 0.5117 |
|
| 98 |
+
| 0.238 | 3.32 | 5000 | 0.5157 |
|
| 99 |
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| 0.2487 | 3.39 | 5100 | 0.5129 |
|
| 100 |
+
| 0.2358 | 3.46 | 5200 | 0.5139 |
|
| 101 |
+
| 0.2491 | 3.52 | 5300 | 0.5185 |
|
| 102 |
+
| 0.2326 | 3.59 | 5400 | 0.5097 |
|
| 103 |
+
| 0.243 | 3.66 | 5500 | 0.5142 |
|
| 104 |
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| 0.2635 | 3.72 | 5600 | 0.5094 |
|
| 105 |
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| 0.2568 | 3.79 | 5700 | 0.5136 |
|
| 106 |
+
| 0.2608 | 3.86 | 5800 | 0.5053 |
|
| 107 |
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| 0.2709 | 3.92 | 5900 | 0.5104 |
|
| 108 |
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| 0.2442 | 3.99 | 6000 | 0.5116 |
|
| 109 |
+
| 0.183 | 4.06 | 6100 | 0.5199 |
|
| 110 |
+
| 0.1657 | 4.12 | 6200 | 0.5228 |
|
| 111 |
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| 0.1537 | 4.19 | 6300 | 0.5230 |
|
| 112 |
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| 0.1634 | 4.26 | 6400 | 0.5232 |
|
| 113 |
+
| 0.1679 | 4.32 | 6500 | 0.5270 |
|
| 114 |
+
| 0.1695 | 4.39 | 6600 | 0.5293 |
|
| 115 |
+
| 0.1872 | 4.45 | 6700 | 0.5279 |
|
| 116 |
+
| 0.1723 | 4.52 | 6800 | 0.5256 |
|
| 117 |
+
| 0.1624 | 4.59 | 6900 | 0.5320 |
|
| 118 |
+
| 0.1708 | 4.65 | 7000 | 0.5289 |
|
| 119 |
+
| 0.1826 | 4.72 | 7100 | 0.5369 |
|
| 120 |
+
| 0.1772 | 4.79 | 7200 | 0.5331 |
|
| 121 |
+
| 0.1672 | 4.85 | 7300 | 0.5287 |
|
| 122 |
+
| 0.1824 | 4.92 | 7400 | 0.5317 |
|
| 123 |
+
| 0.1782 | 4.99 | 7500 | 0.5309 |
|
| 124 |
+
| 0.1177 | 5.05 | 7600 | 0.5414 |
|
| 125 |
+
| 0.1114 | 5.12 | 7700 | 0.5450 |
|
| 126 |
+
| 0.1117 | 5.19 | 7800 | 0.5491 |
|
| 127 |
+
| 0.1118 | 5.25 | 7900 | 0.5474 |
|
| 128 |
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| 0.1105 | 5.32 | 8000 | 0.5478 |
|
| 129 |
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| 0.1015 | 5.39 | 8100 | 0.5515 |
|
| 130 |
+
| 0.1085 | 5.45 | 8200 | 0.5502 |
|
| 131 |
+
| 0.1165 | 5.52 | 8300 | 0.5581 |
|
| 132 |
+
| 0.1193 | 5.59 | 8400 | 0.5529 |
|
| 133 |
+
| 0.1233 | 5.65 | 8500 | 0.5556 |
|
| 134 |
+
| 0.122 | 5.72 | 8600 | 0.5494 |
|
| 135 |
+
| 0.1261 | 5.78 | 8700 | 0.5515 |
|
| 136 |
+
| 0.126 | 5.85 | 8800 | 0.5516 |
|
| 137 |
+
| 0.1165 | 5.92 | 8900 | 0.5488 |
|
| 138 |
+
| 0.1208 | 5.98 | 9000 | 0.5505 |
|
| 139 |
+
| 0.0772 | 6.05 | 9100 | 0.5591 |
|
| 140 |
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| 0.0709 | 6.12 | 9200 | 0.5588 |
|
| 141 |
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| 0.0759 | 6.18 | 9300 | 0.5642 |
|
| 142 |
+
| 0.0672 | 6.25 | 9400 | 0.5669 |
|
| 143 |
+
| 0.0736 | 6.32 | 9500 | 0.5630 |
|
| 144 |
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| 0.0785 | 6.38 | 9600 | 0.5730 |
|
| 145 |
+
| 0.0721 | 6.45 | 9700 | 0.5720 |
|
| 146 |
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| 0.0809 | 6.52 | 9800 | 0.5769 |
|
| 147 |
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| 0.0787 | 6.58 | 9900 | 0.5790 |
|
| 148 |
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| 0.0776 | 6.65 | 10000 | 0.5713 |
|
| 149 |
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| 0.0821 | 6.72 | 10100 | 0.5713 |
|
| 150 |
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| 0.0735 | 6.78 | 10200 | 0.5727 |
|
| 151 |
+
| 0.0742 | 6.85 | 10300 | 0.5780 |
|
| 152 |
+
| 0.0813 | 6.91 | 10400 | 0.5747 |
|
| 153 |
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| 0.0823 | 6.98 | 10500 | 0.5731 |
|
| 154 |
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| 0.0521 | 7.05 | 10600 | 0.5849 |
|
| 155 |
+
| 0.0471 | 7.11 | 10700 | 0.5842 |
|
| 156 |
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| 0.0433 | 7.18 | 10800 | 0.5870 |
|
| 157 |
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| 0.0463 | 7.25 | 10900 | 0.5889 |
|
| 158 |
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| 0.0512 | 7.31 | 11000 | 0.5913 |
|
| 159 |
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| 0.0461 | 7.38 | 11100 | 0.5874 |
|
| 160 |
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| 0.0521 | 7.45 | 11200 | 0.5943 |
|
| 161 |
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| 0.0434 | 7.51 | 11300 | 0.5940 |
|
| 162 |
+
| 0.0522 | 7.58 | 11400 | 0.5980 |
|
| 163 |
+
| 0.0607 | 7.65 | 11500 | 0.5891 |
|
| 164 |
+
| 0.049 | 7.71 | 11600 | 0.5916 |
|
| 165 |
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| 0.0494 | 7.78 | 11700 | 0.5960 |
|
| 166 |
+
| 0.0526 | 7.85 | 11800 | 0.5942 |
|
| 167 |
+
| 0.0505 | 7.91 | 11900 | 0.5972 |
|
| 168 |
+
| 0.0579 | 7.98 | 12000 | 0.5930 |
|
| 169 |
+
| 0.038 | 8.05 | 12100 | 0.6054 |
|
| 170 |
+
| 0.0295 | 8.11 | 12200 | 0.6017 |
|
| 171 |
+
| 0.0303 | 8.18 | 12300 | 0.6020 |
|
| 172 |
+
| 0.0348 | 8.24 | 12400 | 0.6052 |
|
| 173 |
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| 0.0318 | 8.31 | 12500 | 0.6103 |
|
| 174 |
+
| 0.0369 | 8.38 | 12600 | 0.6079 |
|
| 175 |
+
| 0.0373 | 8.44 | 12700 | 0.6050 |
|
| 176 |
+
| 0.0319 | 8.51 | 12800 | 0.6095 |
|
| 177 |
+
| 0.0348 | 8.58 | 12900 | 0.6066 |
|
| 178 |
+
| 0.0326 | 8.64 | 13000 | 0.6084 |
|
| 179 |
+
| 0.0335 | 8.71 | 13100 | 0.6148 |
|
| 180 |
+
| 0.0303 | 8.78 | 13200 | 0.6142 |
|
| 181 |
+
| 0.0409 | 8.84 | 13300 | 0.6190 |
|
| 182 |
+
| 0.0357 | 8.91 | 13400 | 0.6121 |
|
| 183 |
+
| 0.0351 | 8.98 | 13500 | 0.6121 |
|
| 184 |
+
| 0.0254 | 9.04 | 13600 | 0.6203 |
|
| 185 |
+
| 0.0215 | 9.11 | 13700 | 0.6235 |
|
| 186 |
+
| 0.0214 | 9.18 | 13800 | 0.6243 |
|
| 187 |
+
| 0.0226 | 9.24 | 13900 | 0.6199 |
|
| 188 |
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| 0.0224 | 9.31 | 14000 | 0.6225 |
|
| 189 |
+
| 0.0226 | 9.38 | 14100 | 0.6236 |
|
| 190 |
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| 0.0224 | 9.44 | 14200 | 0.6261 |
|
| 191 |
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| 0.0262 | 9.51 | 14300 | 0.6259 |
|
| 192 |
+
| 0.022 | 9.57 | 14400 | 0.6223 |
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| 193 |
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| 0.0248 | 9.64 | 14500 | 0.6275 |
|
| 194 |
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| 0.0236 | 9.71 | 14600 | 0.6261 |
|
| 195 |
+
| 0.022 | 9.77 | 14700 | 0.6303 |
|
| 196 |
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| 0.0225 | 9.84 | 14800 | 0.6290 |
|
| 197 |
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| 0.0248 | 9.91 | 14900 | 0.6299 |
|
| 198 |
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| 0.0233 | 9.97 | 15000 | 0.6302 |
|
| 199 |
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| 0.021 | 10.04 | 15100 | 0.6297 |
|
| 200 |
+
| 0.0153 | 10.11 | 15200 | 0.6355 |
|
| 201 |
+
| 0.015 | 10.17 | 15300 | 0.6321 |
|
| 202 |
+
| 0.0153 | 10.24 | 15400 | 0.6349 |
|
| 203 |
+
| 0.0168 | 10.31 | 15500 | 0.6310 |
|
| 204 |
+
| 0.0155 | 10.37 | 15600 | 0.6352 |
|
| 205 |
+
| 0.0153 | 10.44 | 15700 | 0.6391 |
|
| 206 |
+
| 0.0189 | 10.51 | 15800 | 0.6373 |
|
| 207 |
+
| 0.0166 | 10.57 | 15900 | 0.6370 |
|
| 208 |
+
| 0.016 | 10.64 | 16000 | 0.6348 |
|
| 209 |
+
| 0.0191 | 10.7 | 16100 | 0.6381 |
|
| 210 |
+
| 0.0172 | 10.77 | 16200 | 0.6394 |
|
| 211 |
+
| 0.0171 | 10.84 | 16300 | 0.6408 |
|
| 212 |
+
| 0.0185 | 10.9 | 16400 | 0.6378 |
|
| 213 |
+
| 0.0167 | 10.97 | 16500 | 0.6437 |
|
| 214 |
+
| 0.016 | 11.04 | 16600 | 0.6447 |
|
| 215 |
+
| 0.0127 | 11.1 | 16700 | 0.6408 |
|
| 216 |
+
| 0.0131 | 11.17 | 16800 | 0.6454 |
|
| 217 |
+
| 0.0117 | 11.24 | 16900 | 0.6471 |
|
| 218 |
+
| 0.0125 | 11.3 | 17000 | 0.6484 |
|
| 219 |
+
| 0.0135 | 11.37 | 17100 | 0.6517 |
|
| 220 |
+
| 0.0122 | 11.44 | 17200 | 0.6462 |
|
| 221 |
+
| 0.0132 | 11.5 | 17300 | 0.6505 |
|
| 222 |
+
| 0.012 | 11.57 | 17400 | 0.6524 |
|
| 223 |
+
| 0.0152 | 11.64 | 17500 | 0.6491 |
|
| 224 |
+
| 0.0147 | 11.7 | 17600 | 0.6506 |
|
| 225 |
+
| 0.0144 | 11.77 | 17700 | 0.6482 |
|
| 226 |
+
| 0.0143 | 11.84 | 17800 | 0.6482 |
|
| 227 |
+
| 0.0121 | 11.9 | 17900 | 0.6475 |
|
| 228 |
+
| 0.0131 | 11.97 | 18000 | 0.6480 |
|
| 229 |
+
| 0.0113 | 12.03 | 18100 | 0.6491 |
|
| 230 |
+
| 0.0117 | 12.1 | 18200 | 0.6543 |
|
| 231 |
+
| 0.0092 | 12.17 | 18300 | 0.6575 |
|
| 232 |
+
| 0.0102 | 12.23 | 18400 | 0.6530 |
|
| 233 |
+
| 0.0099 | 12.3 | 18500 | 0.6612 |
|
| 234 |
+
| 0.0099 | 12.37 | 18600 | 0.6547 |
|
| 235 |
+
| 0.0089 | 12.43 | 18700 | 0.6553 |
|
| 236 |
+
| 0.01 | 12.5 | 18800 | 0.6581 |
|
| 237 |
+
| 0.0092 | 12.57 | 18900 | 0.6579 |
|
| 238 |
+
| 0.0092 | 12.63 | 19000 | 0.6558 |
|
| 239 |
+
| 0.0099 | 12.7 | 19100 | 0.6563 |
|
| 240 |
+
| 0.0099 | 12.77 | 19200 | 0.6578 |
|
| 241 |
+
| 0.0103 | 12.83 | 19300 | 0.6589 |
|
| 242 |
+
| 0.0093 | 12.9 | 19400 | 0.6582 |
|
| 243 |
+
| 0.0093 | 12.97 | 19500 | 0.6582 |
|
| 244 |
+
| 0.0078 | 13.03 | 19600 | 0.6604 |
|
| 245 |
+
| 0.0073 | 13.1 | 19700 | 0.6606 |
|
| 246 |
+
| 0.0082 | 13.16 | 19800 | 0.6582 |
|
| 247 |
+
| 0.0075 | 13.23 | 19900 | 0.6614 |
|
| 248 |
+
| 0.0073 | 13.3 | 20000 | 0.6636 |
|
| 249 |
+
| 0.0072 | 13.36 | 20100 | 0.6578 |
|
| 250 |
+
| 0.0074 | 13.43 | 20200 | 0.6606 |
|
| 251 |
+
| 0.009 | 13.5 | 20300 | 0.6623 |
|
| 252 |
+
| 0.0149 | 13.56 | 20400 | 0.6615 |
|
| 253 |
+
| 0.0078 | 13.63 | 20500 | 0.6616 |
|
| 254 |
+
| 0.0069 | 13.7 | 20600 | 0.6653 |
|
| 255 |
+
| 0.0085 | 13.76 | 20700 | 0.6607 |
|
| 256 |
+
| 0.0074 | 13.83 | 20800 | 0.6619 |
|
| 257 |
+
| 0.0088 | 13.9 | 20900 | 0.6621 |
|
| 258 |
+
| 0.0069 | 13.96 | 21000 | 0.6613 |
|
| 259 |
+
| 0.0076 | 14.03 | 21100 | 0.6630 |
|
| 260 |
+
| 0.0062 | 14.1 | 21200 | 0.6635 |
|
| 261 |
+
| 0.007 | 14.16 | 21300 | 0.6623 |
|
| 262 |
+
| 0.0066 | 14.23 | 21400 | 0.6627 |
|
| 263 |
+
| 0.0067 | 14.3 | 21500 | 0.6620 |
|
| 264 |
+
| 0.0066 | 14.36 | 21600 | 0.6604 |
|
| 265 |
+
| 0.0068 | 14.43 | 21700 | 0.6620 |
|
| 266 |
+
| 0.0069 | 14.49 | 21800 | 0.6629 |
|
| 267 |
+
| 0.0088 | 14.56 | 21900 | 0.6625 |
|
| 268 |
+
| 0.0069 | 14.63 | 22000 | 0.6642 |
|
| 269 |
+
| 0.0063 | 14.69 | 22100 | 0.6645 |
|
| 270 |
+
| 0.0074 | 14.76 | 22200 | 0.6652 |
|
| 271 |
+
| 0.0053 | 14.83 | 22300 | 0.6652 |
|
| 272 |
+
| 0.0076 | 14.89 | 22400 | 0.6652 |
|
| 273 |
+
| 0.0068 | 14.96 | 22500 | 0.6652 |
|
| 274 |
+
|
| 275 |
+
|
| 276 |
+
### Framework versions
|
| 277 |
+
|
| 278 |
+
- Transformers 4.38.2
|
| 279 |
+
- Pytorch 2.1.2
|
| 280 |
+
- Datasets 2.1.0
|
| 281 |
+
- Tokenizers 0.15.2
|
config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/m2m100_418M",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"activation_function": "relu",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"M2M100ForConditionalGeneration"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.1,
|
| 9 |
+
"bos_token_id": 0,
|
| 10 |
+
"d_model": 1024,
|
| 11 |
+
"decoder_attention_heads": 16,
|
| 12 |
+
"decoder_ffn_dim": 4096,
|
| 13 |
+
"decoder_layerdrop": 0.05,
|
| 14 |
+
"decoder_layers": 12,
|
| 15 |
+
"decoder_start_token_id": 2,
|
| 16 |
+
"dropout": 0.1,
|
| 17 |
+
"early_stopping": true,
|
| 18 |
+
"encoder_attention_heads": 16,
|
| 19 |
+
"encoder_ffn_dim": 4096,
|
| 20 |
+
"encoder_layerdrop": 0.05,
|
| 21 |
+
"encoder_layers": 12,
|
| 22 |
+
"eos_token_id": 2,
|
| 23 |
+
"gradient_checkpointing": false,
|
| 24 |
+
"init_std": 0.02,
|
| 25 |
+
"is_encoder_decoder": true,
|
| 26 |
+
"max_length": 200,
|
| 27 |
+
"max_position_embeddings": 1024,
|
| 28 |
+
"model_type": "m2m_100",
|
| 29 |
+
"num_beams": 5,
|
| 30 |
+
"num_hidden_layers": 12,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"scale_embedding": true,
|
| 33 |
+
"torch_dtype": "float32",
|
| 34 |
+
"transformers_version": "4.38.2",
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"vocab_size": 128112
|
| 37 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"decoder_start_token_id": 2,
|
| 5 |
+
"early_stopping": true,
|
| 6 |
+
"eos_token_id": 2,
|
| 7 |
+
"max_length": 200,
|
| 8 |
+
"num_beams": 5,
|
| 9 |
+
"pad_token_id": 1,
|
| 10 |
+
"transformers_version": "4.38.2"
|
| 11 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57c2dba693ad439907fd42db9c651a502d6bc4902e71f8c4de1ef5e9140964bb
|
| 3 |
+
size 1935681888
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99784449f25d0e78d0e9300bbcb7c08586cf752b844b61d70236070024f88a1a
|
| 3 |
+
size 4984
|