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README.md
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| 1 |
+
---
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| 2 |
+
license: mit
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base_model: cardiffnlp/twitter-roberta-base-2019-90m
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tags:
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- generated_from_trainer
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model-index:
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- name: 2020-Q3-25p-filtered
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results: []
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+
---
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+
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+
should probably proofread and complete it, then remove this comment. -->
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+
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+
# 2020-Q3-25p-filtered
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2019-90m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2823
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4.1e-07
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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- lr_scheduler_type: linear
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| 43 |
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- training_steps: 2400000
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| 44 |
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### Training results
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| 47 |
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| Training Loss | Epoch | Step | Validation Loss |
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| 48 |
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|:-------------:|:-----:|:-------:|:---------------:|
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| 49 |
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| No log | 0.02 | 8000 | 2.5705 |
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| 50 |
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| 2.7559 | 0.05 | 16000 | 2.4932 |
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| 51 |
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| 2.7559 | 0.07 | 24000 | 2.4516 |
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| 52 |
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| 2.5786 | 0.09 | 32000 | 2.4174 |
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| 53 |
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| 2.5786 | 0.11 | 40000 | 2.4071 |
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| 54 |
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| 2.5316 | 0.14 | 48000 | 2.3903 |
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| 55 |
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| 2.5316 | 0.16 | 56000 | 2.3744 |
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| 56 |
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| 2.5006 | 0.18 | 64000 | 2.3650 |
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| 57 |
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| 2.5006 | 0.2 | 72000 | 2.3600 |
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| 58 |
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| 2.483 | 0.23 | 80000 | 2.3548 |
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| 59 |
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| 2.483 | 0.25 | 88000 | 2.3485 |
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| 60 |
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| 2.4703 | 0.27 | 96000 | 2.3475 |
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| 61 |
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| 2.4703 | 0.29 | 104000 | 2.3384 |
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| 62 |
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| 2.47 | 0.32 | 112000 | 2.3330 |
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| 63 |
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| 2.47 | 0.34 | 120000 | 2.3354 |
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| 64 |
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| 2.4601 | 0.36 | 128000 | 2.3343 |
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| 65 |
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| 2.4601 | 0.38 | 136000 | 2.3282 |
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| 66 |
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| 2.4486 | 0.41 | 144000 | 2.3316 |
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| 67 |
+
| 2.4486 | 0.43 | 152000 | 2.3180 |
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| 68 |
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| 2.4536 | 0.45 | 160000 | 2.3257 |
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| 69 |
+
| 2.4536 | 0.47 | 168000 | 2.3222 |
|
| 70 |
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| 2.4523 | 0.5 | 176000 | 2.3208 |
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| 71 |
+
| 2.4523 | 0.52 | 184000 | 2.3218 |
|
| 72 |
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| 2.4489 | 0.54 | 192000 | 2.3184 |
|
| 73 |
+
| 2.4489 | 0.56 | 200000 | 2.3225 |
|
| 74 |
+
| 2.4448 | 0.59 | 208000 | 2.3185 |
|
| 75 |
+
| 2.4448 | 0.61 | 216000 | 2.3139 |
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| 76 |
+
| 2.4412 | 0.63 | 224000 | 2.3235 |
|
| 77 |
+
| 2.4412 | 0.65 | 232000 | 2.3148 |
|
| 78 |
+
| 2.442 | 0.68 | 240000 | 2.3146 |
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| 79 |
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| 2.442 | 0.7 | 248000 | 2.3145 |
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| 80 |
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| 2.4408 | 0.72 | 256000 | 2.3083 |
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| 81 |
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| 2.4408 | 0.74 | 264000 | 2.3068 |
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| 82 |
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| 2.4336 | 0.77 | 272000 | 2.3104 |
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| 83 |
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| 2.4336 | 0.79 | 280000 | 2.3147 |
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| 84 |
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| 2.4394 | 0.81 | 288000 | 2.3105 |
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| 85 |
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| 2.4394 | 0.83 | 296000 | 2.3135 |
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| 86 |
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| 2.4363 | 0.86 | 304000 | 2.3057 |
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| 87 |
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| 2.4363 | 0.88 | 312000 | 2.3050 |
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| 88 |
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| 2.4403 | 0.9 | 320000 | 2.3066 |
|
| 89 |
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| 2.4403 | 0.92 | 328000 | 2.3076 |
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| 90 |
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| 2.4409 | 0.95 | 336000 | 2.3026 |
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| 91 |
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| 2.4409 | 0.97 | 344000 | 2.3045 |
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| 92 |
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| 2.4434 | 0.99 | 352000 | 2.3047 |
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| 93 |
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| 2.4434 | 1.01 | 360000 | 2.3080 |
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| 94 |
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| 2.4372 | 1.04 | 368000 | 2.3143 |
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| 95 |
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| 2.4372 | 1.06 | 376000 | 2.3049 |
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| 96 |
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| 2.4329 | 1.08 | 384000 | 2.3066 |
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| 97 |
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| 2.4329 | 1.1 | 392000 | 2.3050 |
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| 98 |
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| 2.437 | 1.13 | 400000 | 2.3012 |
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| 99 |
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| 2.437 | 1.15 | 408000 | 2.3033 |
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| 100 |
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| 2.4378 | 1.17 | 416000 | 2.3064 |
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| 101 |
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| 2.4378 | 1.19 | 424000 | 2.2984 |
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| 102 |
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| 2.4386 | 1.22 | 432000 | 2.3057 |
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| 103 |
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| 2.4386 | 1.24 | 440000 | 2.3035 |
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| 104 |
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| 2.4411 | 1.26 | 448000 | 2.2969 |
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| 105 |
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| 2.4411 | 1.28 | 456000 | 2.2930 |
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| 106 |
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| 2.4466 | 1.31 | 464000 | 2.3005 |
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| 107 |
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| 2.4466 | 1.33 | 472000 | 2.2975 |
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| 108 |
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| 2.4451 | 1.35 | 480000 | 2.3042 |
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| 109 |
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| 2.4451 | 1.37 | 488000 | 2.3061 |
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| 110 |
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| 2.4399 | 1.4 | 496000 | 2.2987 |
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| 111 |
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| 2.4399 | 1.42 | 504000 | 2.2967 |
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| 112 |
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| 2.4397 | 1.44 | 512000 | 2.3010 |
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| 113 |
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| 2.4397 | 1.47 | 520000 | 2.3019 |
|
| 114 |
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| 2.4483 | 1.49 | 528000 | 2.3009 |
|
| 115 |
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| 2.4483 | 1.51 | 536000 | 2.3048 |
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| 116 |
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| 2.4436 | 1.53 | 544000 | 2.3029 |
|
| 117 |
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| 2.4436 | 1.56 | 552000 | 2.3026 |
|
| 118 |
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| 2.4407 | 1.58 | 560000 | 2.3027 |
|
| 119 |
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| 2.4407 | 1.6 | 568000 | 2.3061 |
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| 120 |
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| 2.4364 | 1.62 | 576000 | 2.2972 |
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| 121 |
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| 2.4364 | 1.65 | 584000 | 2.2967 |
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| 122 |
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| 2.4406 | 1.67 | 592000 | 2.2965 |
|
| 123 |
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| 2.4406 | 1.69 | 600000 | 2.2966 |
|
| 124 |
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| 2.4393 | 1.71 | 608000 | 2.2982 |
|
| 125 |
+
| 2.4393 | 1.74 | 616000 | 2.2993 |
|
| 126 |
+
| 2.4352 | 1.76 | 624000 | 2.2916 |
|
| 127 |
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| 2.4352 | 1.78 | 632000 | 2.2931 |
|
| 128 |
+
| 2.4366 | 1.8 | 640000 | 2.3016 |
|
| 129 |
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| 2.4366 | 1.83 | 648000 | 2.2984 |
|
| 130 |
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| 2.4361 | 1.85 | 656000 | 2.2877 |
|
| 131 |
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| 2.4361 | 1.87 | 664000 | 2.2983 |
|
| 132 |
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| 2.437 | 1.89 | 672000 | 2.3033 |
|
| 133 |
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| 2.437 | 1.92 | 680000 | 2.2928 |
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| 134 |
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| 2.4488 | 1.94 | 688000 | 2.2953 |
|
| 135 |
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| 2.4488 | 1.96 | 696000 | 2.2945 |
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| 136 |
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| 2.4459 | 1.98 | 704000 | 2.2961 |
|
| 137 |
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| 2.4459 | 2.01 | 712000 | 2.2899 |
|
| 138 |
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| 2.4334 | 2.03 | 720000 | 2.2964 |
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| 139 |
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| 2.4334 | 2.05 | 728000 | 2.2896 |
|
| 140 |
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| 2.4343 | 2.07 | 736000 | 2.2954 |
|
| 141 |
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| 2.4343 | 2.1 | 744000 | 2.3004 |
|
| 142 |
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| 2.4345 | 2.12 | 752000 | 2.2892 |
|
| 143 |
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| 2.4345 | 2.14 | 760000 | 2.2996 |
|
| 144 |
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| 2.4386 | 2.16 | 768000 | 2.2886 |
|
| 145 |
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| 2.4386 | 2.19 | 776000 | 2.2974 |
|
| 146 |
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| 2.434 | 2.21 | 784000 | 2.2882 |
|
| 147 |
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| 2.434 | 2.23 | 792000 | 2.2965 |
|
| 148 |
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| 2.4379 | 2.25 | 800000 | 2.2899 |
|
| 149 |
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| 2.4379 | 2.28 | 808000 | 2.2938 |
|
| 150 |
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| 2.4356 | 2.3 | 816000 | 2.2997 |
|
| 151 |
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| 2.4356 | 2.32 | 824000 | 2.2942 |
|
| 152 |
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| 2.4399 | 2.34 | 832000 | 2.2916 |
|
| 153 |
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| 2.4399 | 2.37 | 840000 | 2.2934 |
|
| 154 |
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| 2.437 | 2.39 | 848000 | 2.2978 |
|
| 155 |
+
| 2.437 | 2.41 | 856000 | 2.2834 |
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| 156 |
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| 2.4311 | 2.43 | 864000 | 2.2872 |
|
| 157 |
+
| 2.4311 | 2.46 | 872000 | 2.2928 |
|
| 158 |
+
| 2.4453 | 2.48 | 880000 | 2.2888 |
|
| 159 |
+
| 2.4453 | 2.5 | 888000 | 2.2933 |
|
| 160 |
+
| 2.4434 | 2.52 | 896000 | 2.2911 |
|
| 161 |
+
| 2.4434 | 2.55 | 904000 | 2.2929 |
|
| 162 |
+
| 2.443 | 2.57 | 912000 | 2.2926 |
|
| 163 |
+
| 2.443 | 2.59 | 920000 | 2.2908 |
|
| 164 |
+
| 2.4361 | 2.61 | 928000 | 2.2914 |
|
| 165 |
+
| 2.4361 | 2.64 | 936000 | 2.2878 |
|
| 166 |
+
| 2.44 | 2.66 | 944000 | 2.2872 |
|
| 167 |
+
| 2.44 | 2.68 | 952000 | 2.2857 |
|
| 168 |
+
| 2.4447 | 2.7 | 960000 | 2.2932 |
|
| 169 |
+
| 2.4447 | 2.73 | 968000 | 2.2918 |
|
| 170 |
+
| 2.4362 | 2.75 | 976000 | 2.2875 |
|
| 171 |
+
| 2.4362 | 2.77 | 984000 | 2.2900 |
|
| 172 |
+
| 2.4457 | 2.8 | 992000 | 2.2913 |
|
| 173 |
+
| 2.4457 | 2.82 | 1000000 | 2.2871 |
|
| 174 |
+
| 2.4474 | 2.84 | 1008000 | 2.2875 |
|
| 175 |
+
| 2.4474 | 2.86 | 1016000 | 2.2902 |
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| 176 |
+
| 2.444 | 2.89 | 1024000 | 2.2878 |
|
| 177 |
+
| 2.444 | 2.91 | 1032000 | 2.2856 |
|
| 178 |
+
| 2.4316 | 2.93 | 1040000 | 2.2908 |
|
| 179 |
+
| 2.4316 | 2.95 | 1048000 | 2.2889 |
|
| 180 |
+
| 2.4388 | 2.98 | 1056000 | 2.2922 |
|
| 181 |
+
| 2.4388 | 3.0 | 1064000 | 2.2867 |
|
| 182 |
+
| 2.442 | 3.02 | 1072000 | 2.2912 |
|
| 183 |
+
| 2.442 | 3.04 | 1080000 | 2.2891 |
|
| 184 |
+
| 2.4388 | 3.07 | 1088000 | 2.2855 |
|
| 185 |
+
| 2.4388 | 3.09 | 1096000 | 2.2949 |
|
| 186 |
+
| 2.4296 | 3.11 | 1104000 | 2.2853 |
|
| 187 |
+
| 2.4296 | 3.13 | 1112000 | 2.2854 |
|
| 188 |
+
| 2.4411 | 3.16 | 1120000 | 2.2902 |
|
| 189 |
+
| 2.4411 | 3.18 | 1128000 | 2.2902 |
|
| 190 |
+
| 2.4354 | 3.2 | 1136000 | 2.2873 |
|
| 191 |
+
| 2.4354 | 3.22 | 1144000 | 2.2931 |
|
| 192 |
+
| 2.4436 | 3.25 | 1152000 | 2.2906 |
|
| 193 |
+
| 2.4436 | 3.27 | 1160000 | 2.2945 |
|
| 194 |
+
| 2.4372 | 3.29 | 1168000 | 2.2899 |
|
| 195 |
+
| 2.4372 | 3.31 | 1176000 | 2.2869 |
|
| 196 |
+
| 2.4327 | 3.34 | 1184000 | 2.2891 |
|
| 197 |
+
| 2.4327 | 3.36 | 1192000 | 2.2933 |
|
| 198 |
+
| 2.4387 | 3.38 | 1200000 | 2.2849 |
|
| 199 |
+
| 2.4387 | 3.4 | 1208000 | 2.2934 |
|
| 200 |
+
| 2.4433 | 3.43 | 1216000 | 2.2876 |
|
| 201 |
+
| 2.4433 | 3.45 | 1224000 | 2.2860 |
|
| 202 |
+
| 2.4396 | 3.47 | 1232000 | 2.2898 |
|
| 203 |
+
| 2.4396 | 3.49 | 1240000 | 2.2830 |
|
| 204 |
+
| 2.4332 | 3.52 | 1248000 | 2.2855 |
|
| 205 |
+
| 2.4332 | 3.54 | 1256000 | 2.2925 |
|
| 206 |
+
| 2.4332 | 3.56 | 1264000 | 2.2832 |
|
| 207 |
+
| 2.4332 | 3.58 | 1272000 | 2.2851 |
|
| 208 |
+
| 2.4307 | 3.61 | 1280000 | 2.2912 |
|
| 209 |
+
| 2.4307 | 3.63 | 1288000 | 2.2924 |
|
| 210 |
+
| 2.4432 | 3.65 | 1296000 | 2.2916 |
|
| 211 |
+
| 2.4432 | 3.67 | 1304000 | 2.2892 |
|
| 212 |
+
| 2.4319 | 3.7 | 1312000 | 2.2908 |
|
| 213 |
+
| 2.4319 | 3.72 | 1320000 | 2.2898 |
|
| 214 |
+
| 2.4394 | 3.74 | 1328000 | 2.2860 |
|
| 215 |
+
| 2.4394 | 3.76 | 1336000 | 2.2879 |
|
| 216 |
+
| 2.4462 | 3.79 | 1344000 | 2.2865 |
|
| 217 |
+
| 2.4462 | 3.81 | 1352000 | 2.2844 |
|
| 218 |
+
| 2.4373 | 3.83 | 1360000 | 2.2933 |
|
| 219 |
+
| 2.4373 | 3.85 | 1368000 | 2.2877 |
|
| 220 |
+
| 2.4436 | 3.88 | 1376000 | 2.2937 |
|
| 221 |
+
| 2.4436 | 3.9 | 1384000 | 2.2902 |
|
| 222 |
+
| 2.4387 | 3.92 | 1392000 | 2.2870 |
|
| 223 |
+
| 2.4387 | 3.94 | 1400000 | 2.2823 |
|
| 224 |
+
| 2.4384 | 3.97 | 1408000 | 2.2899 |
|
| 225 |
+
| 2.4384 | 3.99 | 1416000 | 2.2865 |
|
| 226 |
+
| 2.4389 | 4.01 | 1424000 | 2.2856 |
|
| 227 |
+
| 2.4389 | 4.03 | 1432000 | 2.2911 |
|
| 228 |
+
| 2.4408 | 4.06 | 1440000 | 2.2906 |
|
| 229 |
+
| 2.4408 | 4.08 | 1448000 | 2.2860 |
|
| 230 |
+
| 2.4424 | 4.1 | 1456000 | 2.2816 |
|
| 231 |
+
| 2.4424 | 4.12 | 1464000 | 2.2850 |
|
| 232 |
+
| 2.4446 | 4.15 | 1472000 | 2.2936 |
|
| 233 |
+
| 2.4446 | 4.17 | 1480000 | 2.2829 |
|
| 234 |
+
| 2.4419 | 4.19 | 1488000 | 2.2871 |
|
| 235 |
+
| 2.4419 | 4.22 | 1496000 | 2.2892 |
|
| 236 |
+
| 2.4327 | 4.24 | 1504000 | 2.2822 |
|
| 237 |
+
| 2.4327 | 4.26 | 1512000 | 2.2900 |
|
| 238 |
+
| 2.4346 | 4.28 | 1520000 | 2.2906 |
|
| 239 |
+
| 2.4346 | 4.31 | 1528000 | 2.2837 |
|
| 240 |
+
| 2.4342 | 4.33 | 1536000 | 2.2846 |
|
| 241 |
+
| 2.4342 | 4.35 | 1544000 | 2.2863 |
|
| 242 |
+
| 2.4381 | 4.37 | 1552000 | 2.2940 |
|
| 243 |
+
| 2.4381 | 4.4 | 1560000 | 2.2900 |
|
| 244 |
+
| 2.4445 | 4.42 | 1568000 | 2.2887 |
|
| 245 |
+
| 2.4445 | 4.44 | 1576000 | 2.2901 |
|
| 246 |
+
| 2.4306 | 4.46 | 1584000 | 2.2832 |
|
| 247 |
+
| 2.4306 | 4.49 | 1592000 | 2.2862 |
|
| 248 |
+
| 2.4348 | 4.51 | 1600000 | 2.2877 |
|
| 249 |
+
| 2.4348 | 4.53 | 1608000 | 2.2834 |
|
| 250 |
+
| 2.4446 | 4.55 | 1616000 | 2.2892 |
|
| 251 |
+
| 2.4446 | 4.58 | 1624000 | 2.2800 |
|
| 252 |
+
| 2.444 | 4.6 | 1632000 | 2.2891 |
|
| 253 |
+
| 2.444 | 4.62 | 1640000 | 2.2839 |
|
| 254 |
+
| 2.4335 | 4.64 | 1648000 | 2.2787 |
|
| 255 |
+
| 2.4335 | 4.67 | 1656000 | 2.2856 |
|
| 256 |
+
| 2.4369 | 4.69 | 1664000 | 2.2889 |
|
| 257 |
+
| 2.4369 | 4.71 | 1672000 | 2.2900 |
|
| 258 |
+
| 2.4446 | 4.73 | 1680000 | 2.2891 |
|
| 259 |
+
| 2.4446 | 4.76 | 1688000 | 2.2835 |
|
| 260 |
+
| 2.4334 | 4.78 | 1696000 | 2.2841 |
|
| 261 |
+
| 2.4334 | 4.8 | 1704000 | 2.2895 |
|
| 262 |
+
| 2.4426 | 4.82 | 1712000 | 2.2832 |
|
| 263 |
+
| 2.4426 | 4.85 | 1720000 | 2.2870 |
|
| 264 |
+
| 2.4434 | 4.87 | 1728000 | 2.2819 |
|
| 265 |
+
| 2.4434 | 4.89 | 1736000 | 2.2896 |
|
| 266 |
+
| 2.4382 | 4.91 | 1744000 | 2.2869 |
|
| 267 |
+
| 2.4382 | 4.94 | 1752000 | 2.2844 |
|
| 268 |
+
| 2.4405 | 4.96 | 1760000 | 2.2820 |
|
| 269 |
+
| 2.4405 | 4.98 | 1768000 | 2.2922 |
|
| 270 |
+
| 2.4507 | 5.0 | 1776000 | 2.2808 |
|
| 271 |
+
| 2.4507 | 5.03 | 1784000 | 2.2868 |
|
| 272 |
+
| 2.4437 | 5.05 | 1792000 | 2.2815 |
|
| 273 |
+
| 2.4437 | 5.07 | 1800000 | 2.2889 |
|
| 274 |
+
| 2.4373 | 5.09 | 1808000 | 2.2797 |
|
| 275 |
+
| 2.4373 | 5.12 | 1816000 | 2.2882 |
|
| 276 |
+
| 2.4368 | 5.14 | 1824000 | 2.2879 |
|
| 277 |
+
| 2.4368 | 5.16 | 1832000 | 2.2829 |
|
| 278 |
+
| 2.4398 | 5.18 | 1840000 | 2.2867 |
|
| 279 |
+
| 2.4398 | 5.21 | 1848000 | 2.2829 |
|
| 280 |
+
| 2.4469 | 5.23 | 1856000 | 2.2846 |
|
| 281 |
+
| 2.4469 | 5.25 | 1864000 | 2.2839 |
|
| 282 |
+
| 2.4457 | 5.27 | 1872000 | 2.2880 |
|
| 283 |
+
| 2.4457 | 5.3 | 1880000 | 2.2849 |
|
| 284 |
+
| 2.4444 | 5.32 | 1888000 | 2.2838 |
|
| 285 |
+
| 2.4444 | 5.34 | 1896000 | 2.2800 |
|
| 286 |
+
| 2.437 | 5.36 | 1904000 | 2.2915 |
|
| 287 |
+
| 2.437 | 5.39 | 1912000 | 2.2813 |
|
| 288 |
+
| 2.4415 | 5.41 | 1920000 | 2.2893 |
|
| 289 |
+
| 2.4415 | 5.43 | 1928000 | 2.2848 |
|
| 290 |
+
| 2.4472 | 5.45 | 1936000 | 2.2920 |
|
| 291 |
+
| 2.4472 | 5.48 | 1944000 | 2.2759 |
|
| 292 |
+
| 2.4418 | 5.5 | 1952000 | 2.2837 |
|
| 293 |
+
| 2.4418 | 5.52 | 1960000 | 2.2860 |
|
| 294 |
+
| 2.4406 | 5.54 | 1968000 | 2.2825 |
|
| 295 |
+
| 2.4406 | 5.57 | 1976000 | 2.2794 |
|
| 296 |
+
| 2.4359 | 5.59 | 1984000 | 2.2773 |
|
| 297 |
+
| 2.4359 | 5.61 | 1992000 | 2.2876 |
|
| 298 |
+
| 2.4416 | 5.64 | 2000000 | 2.2793 |
|
| 299 |
+
| 2.4416 | 5.66 | 2008000 | 2.2814 |
|
| 300 |
+
| 2.4327 | 5.68 | 2016000 | 2.2865 |
|
| 301 |
+
| 2.4327 | 5.7 | 2024000 | 2.2903 |
|
| 302 |
+
| 2.4395 | 5.73 | 2032000 | 2.2850 |
|
| 303 |
+
| 2.4395 | 5.75 | 2040000 | 2.2835 |
|
| 304 |
+
| 2.4379 | 5.77 | 2048000 | 2.2837 |
|
| 305 |
+
| 2.4379 | 5.79 | 2056000 | 2.2833 |
|
| 306 |
+
| 2.4471 | 5.82 | 2064000 | 2.2857 |
|
| 307 |
+
| 2.4471 | 5.84 | 2072000 | 2.2863 |
|
| 308 |
+
| 2.4443 | 5.86 | 2080000 | 2.2882 |
|
| 309 |
+
| 2.4443 | 5.88 | 2088000 | 2.2849 |
|
| 310 |
+
| 2.4406 | 5.91 | 2096000 | 2.2885 |
|
| 311 |
+
| 2.4406 | 5.93 | 2104000 | 2.2852 |
|
| 312 |
+
| 2.4502 | 5.95 | 2112000 | 2.2898 |
|
| 313 |
+
| 2.4502 | 5.97 | 2120000 | 2.2924 |
|
| 314 |
+
| 2.4356 | 6.0 | 2128000 | 2.2886 |
|
| 315 |
+
| 2.4356 | 6.02 | 2136000 | 2.2883 |
|
| 316 |
+
| 2.4431 | 6.04 | 2144000 | 2.2935 |
|
| 317 |
+
| 2.4431 | 6.06 | 2152000 | 2.2918 |
|
| 318 |
+
| 2.4379 | 6.09 | 2160000 | 2.2824 |
|
| 319 |
+
| 2.4379 | 6.11 | 2168000 | 2.2850 |
|
| 320 |
+
| 2.4504 | 6.13 | 2176000 | 2.2842 |
|
| 321 |
+
| 2.4504 | 6.15 | 2184000 | 2.2891 |
|
| 322 |
+
| 2.4352 | 6.18 | 2192000 | 2.2834 |
|
| 323 |
+
| 2.4352 | 6.2 | 2200000 | 2.2877 |
|
| 324 |
+
| 2.4385 | 6.22 | 2208000 | 2.2836 |
|
| 325 |
+
| 2.4385 | 6.24 | 2216000 | 2.2923 |
|
| 326 |
+
| 2.4401 | 6.27 | 2224000 | 2.2884 |
|
| 327 |
+
| 2.4401 | 6.29 | 2232000 | 2.2876 |
|
| 328 |
+
| 2.4396 | 6.31 | 2240000 | 2.2955 |
|
| 329 |
+
| 2.4396 | 6.33 | 2248000 | 2.2843 |
|
| 330 |
+
| 2.4384 | 6.36 | 2256000 | 2.2884 |
|
| 331 |
+
| 2.4384 | 6.38 | 2264000 | 2.2903 |
|
| 332 |
+
| 2.4365 | 6.4 | 2272000 | 2.2850 |
|
| 333 |
+
| 2.4365 | 6.42 | 2280000 | 2.2877 |
|
| 334 |
+
| 2.4361 | 6.45 | 2288000 | 2.2887 |
|
| 335 |
+
| 2.4361 | 6.47 | 2296000 | 2.2872 |
|
| 336 |
+
| 2.4409 | 6.49 | 2304000 | 2.2851 |
|
| 337 |
+
| 2.4409 | 6.51 | 2312000 | 2.2847 |
|
| 338 |
+
| 2.4423 | 6.54 | 2320000 | 2.2845 |
|
| 339 |
+
| 2.4423 | 6.56 | 2328000 | 2.2849 |
|
| 340 |
+
| 2.4409 | 6.58 | 2336000 | 2.2865 |
|
| 341 |
+
| 2.4409 | 6.6 | 2344000 | 2.2856 |
|
| 342 |
+
| 2.4468 | 6.63 | 2352000 | 2.2842 |
|
| 343 |
+
| 2.4468 | 6.65 | 2360000 | 2.2870 |
|
| 344 |
+
| 2.4461 | 6.67 | 2368000 | 2.2858 |
|
| 345 |
+
| 2.4461 | 6.69 | 2376000 | 2.2852 |
|
| 346 |
+
| 2.4469 | 6.72 | 2384000 | 2.2871 |
|
| 347 |
+
| 2.4469 | 6.74 | 2392000 | 2.2895 |
|
| 348 |
+
| 2.4413 | 6.76 | 2400000 | 2.2823 |
|
| 349 |
+
|
| 350 |
+
|
| 351 |
+
### Framework versions
|
| 352 |
+
|
| 353 |
+
- Transformers 4.35.0.dev0
|
| 354 |
+
- Pytorch 2.0.1+cu117
|
| 355 |
+
- Datasets 2.14.5
|
| 356 |
+
- Tokenizers 0.14.0
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498859189
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d7072760a50a81c291cae2dd27f5c92f0be37690fb0bfa906cb21522ea3dad4
|
| 3 |
size 498859189
|