End of training
Browse files- README.md +162 -0
- config.json +37 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +397 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +30 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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| 1 |
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---
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license: other
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base_model: facebook/opt-1.3b
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: NumTrainEpochs10_SaveStrategiesno_reward_modeling_anthropic_hh
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results: []
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| 11 |
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---
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| 12 |
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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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# NumTrainEpochs10_SaveStrategiesno_reward_modeling_anthropic_hh
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This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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| 20 |
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- Loss: 3.2160
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| 21 |
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- Accuracy: 0.6289
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- Train Rewards/chosen: 13.3266
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- Train Rewards/rejected: -10.7412
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- Train Rewards/accuracies: 0.9925
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- Train Rewards/margins: 24.0678
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- Train Nll Loss: 1.9271
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- Train Logit Total Loss: 0.0395
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- Train Logit Loss: 0.0204
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- Rewards/chosen: 4.7138
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- Rewards/rejected: -1.7686
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- Rewards/accuracies: 0.6145
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| 32 |
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- Rewards/margins: 6.4823
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| 33 |
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- Nll Loss: 2.0087
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| 34 |
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- Logit Total Loss: 3.2131
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- Logit Loss: 3.2252
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| 36 |
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| 37 |
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## Model description
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| 38 |
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| 39 |
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More information needed
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## Intended uses & limitations
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| 42 |
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| 43 |
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More information needed
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| 45 |
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## Training and evaluation data
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| 46 |
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| 47 |
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More information needed
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## Training procedure
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| 50 |
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### Training hyperparameters
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| 52 |
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The following hyperparameters were used during training:
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- learning_rate: 1.41e-05
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| 55 |
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- train_batch_size: 4
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| 56 |
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- eval_batch_size: 8
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| 57 |
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- seed: 42
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- gradient_accumulation_steps: 4
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| 59 |
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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| 63 |
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### Training results
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| 65 |
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| 66 |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Nll Loss | Logit Total Loss | Logit Loss |
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| 67 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------:|:-----------------:|:-----------:|
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| 68 |
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| 0.7879 | 0.11 | 100 | 0.7507 | 0.4845 | -0.1740 | -0.1876 | 0.4714 | 0.0135 | 6.2659 | 0.7498 | 0.6941 |
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| 69 |
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| 0.7291 | 0.23 | 200 | 0.7331 | 0.5773 | -0.2697 | -0.3880 | 0.5645 | 0.1184 | 6.0096 | 0.7310 | 0.6777 |
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| 70 |
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| 0.6843 | 0.34 | 300 | 0.7057 | 0.5876 | 0.2058 | -0.0389 | 0.5754 | 0.2448 | 3.9577 | 0.7039 | 0.6710 |
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| 71 |
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| 0.6773 | 0.46 | 400 | 0.6950 | 0.5918 | -0.0097 | -0.2138 | 0.5774 | 0.2041 | 4.2789 | 0.6968 | 0.6607 |
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| 72 |
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| 0.7071 | 0.57 | 500 | 0.7107 | 0.5918 | 0.7447 | 0.5198 | 0.5815 | 0.2249 | 4.4170 | 0.7087 | 0.6712 |
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| 73 |
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| 0.6881 | 0.69 | 600 | 0.6687 | 0.6186 | -0.8010 | -1.0541 | 0.6028 | 0.2531 | 3.2753 | 0.6671 | 0.6408 |
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| 74 |
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| 0.6871 | 0.8 | 700 | 0.6847 | 0.5753 | -1.7064 | -1.9330 | 0.5601 | 0.2266 | 3.7264 | 0.6839 | 0.6532 |
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| 75 |
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| 0.7125 | 0.91 | 800 | 0.6885 | 0.5814 | -1.4574 | -1.6521 | 0.5734 | 0.1947 | 4.3386 | 0.6851 | 0.6482 |
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| 76 |
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| 0.62 | 1.03 | 900 | 0.6955 | 0.6103 | -1.4133 | -1.8571 | 0.5964 | 0.4438 | 3.1332 | 0.6958 | 0.6712 |
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| 77 |
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| 0.5929 | 1.14 | 1000 | 0.6537 | 0.6371 | -1.9413 | -2.5254 | 0.6226 | 0.5841 | 2.9107 | 0.6524 | 0.6296 |
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| 78 |
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| 0.5825 | 1.26 | 1100 | 0.6749 | 0.6515 | 0.4669 | -0.0787 | 0.6367 | 0.5455 | 2.9364 | 0.6732 | 0.6503 |
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| 79 |
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| 0.614 | 1.37 | 1200 | 0.6697 | 0.6351 | 0.1785 | -0.2933 | 0.6258 | 0.4718 | 2.9997 | 0.6659 | 0.6423 |
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| 80 |
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| 0.5528 | 1.49 | 1300 | 0.6553 | 0.6268 | -1.0780 | -1.6306 | 0.6177 | 0.5526 | 2.9051 | 0.6504 | 0.6276 |
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| 81 |
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| 0.6501 | 1.6 | 1400 | 0.6379 | 0.6412 | -1.6259 | -2.1203 | 0.6306 | 0.4944 | 2.9085 | 0.6351 | 0.6121 |
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| 82 |
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| 0.545 | 1.71 | 1500 | 0.6640 | 0.6660 | -0.3375 | -1.1855 | 0.6560 | 0.8480 | 3.0934 | 0.6573 | 0.6327 |
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| 83 |
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| 0.6653 | 1.83 | 1600 | 0.6379 | 0.6639 | -1.0663 | -1.6961 | 0.6528 | 0.6298 | 2.8475 | 0.6376 | 0.6153 |
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| 84 |
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| 0.5792 | 1.94 | 1700 | 0.6447 | 0.6577 | -0.0283 | -0.6093 | 0.6480 | 0.5810 | 3.0457 | 0.6420 | 0.6178 |
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| 85 |
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| 0.2858 | 2.06 | 1800 | 0.9327 | 0.6330 | 1.7576 | 0.2131 | 0.6226 | 1.5445 | 2.8731 | 0.9216 | 0.9019 |
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| 86 |
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| 0.3404 | 2.17 | 1900 | 0.8438 | 0.6144 | 0.9326 | -0.2443 | 0.6024 | 1.1769 | 2.7925 | 0.8418 | 0.8221 |
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| 87 |
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| 0.2734 | 2.29 | 2000 | 0.9082 | 0.6227 | 1.6779 | 0.4268 | 0.6125 | 1.2511 | 2.7991 | 0.8986 | 0.8794 |
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| 88 |
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| 0.2562 | 2.4 | 2100 | 0.9566 | 0.6371 | 2.2122 | 0.5184 | 0.6266 | 1.6937 | 2.7729 | 0.9522 | 0.9338 |
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| 89 |
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| 0.3796 | 2.51 | 2200 | 0.8839 | 0.6351 | 0.7900 | -0.5311 | 0.6218 | 1.3211 | 2.7689 | 0.8720 | 0.8528 |
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| 90 |
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| 0.2316 | 2.63 | 2300 | 0.8741 | 0.6454 | 2.0133 | 0.5784 | 0.6359 | 1.4349 | 2.7465 | 0.8633 | 0.8443 |
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| 91 |
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| 0.3679 | 2.74 | 2400 | 0.8584 | 0.6515 | -0.8628 | -2.1801 | 0.6379 | 1.3173 | 2.7134 | 0.8483 | 0.8294 |
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| 92 |
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| 0.3384 | 2.86 | 2500 | 0.9165 | 0.6412 | -0.9835 | -2.3685 | 0.6294 | 1.3850 | 2.7084 | 0.9087 | 0.8905 |
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| 93 |
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| 0.3595 | 2.97 | 2600 | 0.9173 | 0.6454 | 0.3307 | -1.0129 | 0.6347 | 1.3436 | 2.7089 | 0.9049 | 0.8867 |
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| 94 |
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| 0.1331 | 3.09 | 2700 | 1.4595 | 0.6557 | 0.6119 | -2.1780 | 0.6468 | 2.7900 | 2.6967 | 1.4381 | 1.4254 |
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| 95 |
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| 0.1464 | 3.2 | 2800 | 1.4234 | 0.6351 | 5.4974 | 2.9945 | 0.6258 | 2.5029 | 2.6392 | 1.3999 | 1.3874 |
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| 96 |
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| 0.137 | 3.31 | 2900 | 1.4612 | 0.6474 | 3.1356 | 0.4400 | 0.6363 | 2.6956 | 2.6002 | 1.4435 | 1.4318 |
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| 97 |
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| 0.1593 | 3.43 | 3000 | 1.7826 | 0.6433 | 3.8280 | 0.7687 | 0.6282 | 3.0593 | 2.6206 | 1.7676 | 1.7590 |
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| 98 |
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| 0.0834 | 3.54 | 3100 | 1.5493 | 0.6474 | 2.4447 | -0.2971 | 0.6355 | 2.7418 | 2.6296 | 1.5386 | 1.5275 |
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| 99 |
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| 0.136 | 3.66 | 3200 | 1.5847 | 0.6495 | 2.6691 | -0.1416 | 0.6375 | 2.8108 | 2.6007 | 1.5701 | 1.5597 |
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| 100 |
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| 0.0859 | 3.77 | 3300 | 1.7114 | 0.6227 | 0.8690 | -1.9033 | 0.6093 | 2.7723 | 2.5630 | 1.6942 | 1.6854 |
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| 101 |
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| 0.1705 | 3.89 | 3400 | 1.7792 | 0.6268 | -1.4030 | -4.0698 | 0.6121 | 2.6669 | 2.5917 | 1.7786 | 1.7704 |
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| 102 |
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| 0.1675 | 4.0 | 3500 | 2.1762 | 0.6268 | -1.5886 | -5.0180 | 0.6133 | 3.4294 | 2.5716 | 2.1579 | 2.1537 |
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| 103 |
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| 0.0589 | 4.11 | 3600 | 2.3409 | 0.6309 | 1.1330 | -2.8993 | 0.6173 | 4.0323 | 2.4949 | 2.3055 | 2.3036 |
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| 104 |
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| 0.1014 | 4.23 | 3700 | 2.3221 | 0.6268 | 2.6255 | -1.3486 | 0.6125 | 3.9741 | 2.4617 | 2.2985 | 2.2969 |
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| 105 |
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| 0.0697 | 4.34 | 3800 | 2.4256 | 0.6351 | 2.8885 | -1.2680 | 0.6194 | 4.1565 | 2.4613 | 2.4010 | 2.4004 |
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| 106 |
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| 0.1687 | 4.46 | 3900 | 2.1905 | 0.6433 | 3.3404 | -1.0572 | 0.6347 | 4.3976 | 2.4074 | 2.1582 | 2.1556 |
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| 107 |
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| 0.0315 | 4.57 | 4000 | 2.3170 | 0.6619 | 2.0050 | -2.4036 | 0.6480 | 4.4086 | 2.4112 | 2.2812 | 2.2799 |
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| 108 |
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| 0.1071 | 4.69 | 4100 | 2.2205 | 0.6454 | 0.9399 | -3.4755 | 0.6379 | 4.4154 | 2.3561 | 2.1998 | 2.1983 |
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| 109 |
+
| 0.1342 | 4.8 | 4200 | 2.2640 | 0.6557 | 10.1640 | 5.7216 | 0.6419 | 4.4424 | 2.3536 | 2.2410 | 2.2399 |
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| 110 |
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| 0.0793 | 4.91 | 4300 | 2.0629 | 0.6495 | -0.6830 | -4.8288 | 0.6327 | 4.1458 | 2.3658 | 2.0407 | 2.0374 |
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| 111 |
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| 0.0587 | 5.03 | 4400 | 2.3862 | 0.6371 | 3.2076 | -1.4161 | 0.6258 | 4.6238 | 2.3529 | 2.3625 | 2.3626 |
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| 112 |
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| 0.0433 | 5.14 | 4500 | 2.5409 | 0.6454 | 4.9940 | 0.1253 | 0.6286 | 4.8687 | 2.3166 | 2.5250 | 2.5271 |
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| 113 |
+
| 0.0506 | 5.26 | 4600 | 2.5949 | 0.6557 | 6.7660 | 1.6624 | 0.6395 | 5.1035 | 2.2864 | 2.5983 | 2.6014 |
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| 114 |
+
| 0.0506 | 5.37 | 4700 | 2.7389 | 0.6351 | 7.2608 | 2.0917 | 0.6226 | 5.1690 | 2.2691 | 2.7197 | 2.7243 |
|
| 115 |
+
| 0.0644 | 5.49 | 4800 | 2.8523 | 0.6309 | 2.3756 | -2.9285 | 0.6173 | 5.3041 | 2.2594 | 2.8574 | 2.8634 |
|
| 116 |
+
| 0.0714 | 5.6 | 4900 | 2.5013 | 0.6309 | 2.5445 | -2.3571 | 0.6206 | 4.9016 | 2.2422 | 2.5045 | 2.5072 |
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| 117 |
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| 0.1087 | 5.71 | 5000 | 2.6378 | 0.6227 | -0.0320 | -5.0243 | 0.6113 | 4.9923 | 2.2318 | 2.6303 | 2.6344 |
|
| 118 |
+
| 0.0874 | 5.83 | 5100 | 2.8088 | 0.6412 | 5.9816 | 0.6049 | 0.6278 | 5.3767 | 2.2257 | 2.7811 | 2.7867 |
|
| 119 |
+
| 0.0871 | 5.94 | 5200 | 2.4819 | 0.6433 | 7.2347 | 2.1895 | 0.6306 | 5.0451 | 2.2034 | 2.4679 | 2.4706 |
|
| 120 |
+
| 0.0331 | 6.06 | 5300 | 2.8775 | 0.6268 | 9.8380 | 4.4195 | 0.6145 | 5.4184 | 2.1978 | 2.8663 | 2.8730 |
|
| 121 |
+
| 0.024 | 6.17 | 5400 | 2.8923 | 0.6433 | 5.1441 | -0.5990 | 0.6306 | 5.7431 | 2.1912 | 2.8713 | 2.8781 |
|
| 122 |
+
| 0.0354 | 6.29 | 5500 | 2.7626 | 0.6433 | -1.4206 | -6.9376 | 0.6315 | 5.5170 | 2.1826 | 2.7519 | 2.7577 |
|
| 123 |
+
| 0.0289 | 6.4 | 5600 | 2.8423 | 0.6371 | 7.1683 | 1.7904 | 0.6246 | 5.3779 | 2.1707 | 2.8182 | 2.8248 |
|
| 124 |
+
| 0.0389 | 6.51 | 5700 | 2.9096 | 0.6412 | 2.0666 | -3.5386 | 0.6234 | 5.6052 | 2.1672 | 2.9140 | 2.9215 |
|
| 125 |
+
| 0.0245 | 6.63 | 5800 | 2.8677 | 0.6495 | 4.5194 | -1.1798 | 0.6347 | 5.6992 | 2.1466 | 2.8461 | 2.8532 |
|
| 126 |
+
| 0.0804 | 6.74 | 5900 | 2.9668 | 0.6371 | 5.6766 | -0.3308 | 0.6226 | 6.0074 | 2.1468 | 2.9437 | 2.9518 |
|
| 127 |
+
| 0.029 | 6.86 | 6000 | 3.0269 | 0.6371 | 3.9285 | -2.2229 | 0.6226 | 6.1514 | 2.1305 | 2.9998 | 3.0086 |
|
| 128 |
+
| 0.0438 | 6.97 | 6100 | 2.8192 | 0.6639 | 2.2607 | -4.3102 | 0.6476 | 6.5708 | 2.1277 | 2.8101 | 2.8170 |
|
| 129 |
+
| 0.0451 | 7.09 | 6200 | 2.8547 | 0.6577 | 2.5219 | -3.4933 | 0.6395 | 6.0152 | 2.1111 | 2.8383 | 2.8456 |
|
| 130 |
+
| 0.0761 | 7.2 | 6300 | 2.9610 | 0.6536 | 4.7705 | -1.5571 | 0.6435 | 6.3275 | 2.1023 | 2.9370 | 2.9454 |
|
| 131 |
+
| 0.0477 | 7.31 | 6400 | 2.8708 | 0.6619 | 2.7809 | -3.7082 | 0.6488 | 6.4891 | 2.0958 | 2.8410 | 2.8485 |
|
| 132 |
+
| 0.0449 | 7.43 | 6500 | 3.0901 | 0.6619 | 5.8808 | -0.8822 | 0.6496 | 6.7630 | 2.0873 | 3.0685 | 3.0784 |
|
| 133 |
+
| 0.0418 | 7.54 | 6600 | 2.9687 | 0.6371 | 2.2079 | -4.1264 | 0.6206 | 6.3343 | 2.0853 | 2.9514 | 2.9602 |
|
| 134 |
+
| 0.0473 | 7.66 | 6700 | 2.9895 | 0.6351 | 2.4455 | -3.8039 | 0.6206 | 6.2494 | 2.0790 | 2.9705 | 2.9795 |
|
| 135 |
+
| 0.0459 | 7.77 | 6800 | 3.0660 | 0.6392 | 4.6892 | -1.6980 | 0.6254 | 6.3872 | 2.0757 | 3.0540 | 3.0638 |
|
| 136 |
+
| 0.045 | 7.89 | 6900 | 3.0811 | 0.6474 | 2.9687 | -3.4595 | 0.6347 | 6.4282 | 2.0697 | 3.0561 | 3.0661 |
|
| 137 |
+
| 0.0493 | 8.0 | 7000 | 2.9549 | 0.6330 | 3.3733 | -2.8947 | 0.6214 | 6.2680 | 2.0679 | 2.9435 | 2.9523 |
|
| 138 |
+
| 0.031 | 8.11 | 7100 | 2.9964 | 0.6330 | 4.2065 | -2.1412 | 0.6206 | 6.3477 | 2.0650 | 2.9810 | 2.9903 |
|
| 139 |
+
| 0.0196 | 8.23 | 7200 | 3.0962 | 0.6371 | 4.8289 | -1.6916 | 0.6246 | 6.5204 | 2.0550 | 3.0800 | 3.0904 |
|
| 140 |
+
| 0.0223 | 8.34 | 7300 | 3.0038 | 0.6392 | 2.7990 | -3.5327 | 0.6246 | 6.3317 | 2.0497 | 2.9870 | 2.9965 |
|
| 141 |
+
| 0.0629 | 8.46 | 7400 | 3.0349 | 0.6351 | 5.2916 | -0.8920 | 0.6206 | 6.1836 | 2.0453 | 3.0076 | 3.0173 |
|
| 142 |
+
| 0.0922 | 8.57 | 7500 | 3.0735 | 0.6227 | 1.5229 | -4.6388 | 0.6105 | 6.1617 | 2.0409 | 3.0489 | 3.0591 |
|
| 143 |
+
| 0.0302 | 8.69 | 7600 | 3.1279 | 0.6289 | 1.4324 | -4.7615 | 0.6185 | 6.1939 | 2.0355 | 3.1060 | 3.1168 |
|
| 144 |
+
| 0.0589 | 8.8 | 7700 | 3.1274 | 0.6412 | 4.6809 | -1.6469 | 0.6306 | 6.3279 | 2.0298 | 3.1051 | 3.1159 |
|
| 145 |
+
| 0.0389 | 8.91 | 7800 | 3.0308 | 0.6330 | 4.8002 | -1.3492 | 0.6206 | 6.1494 | 2.0277 | 3.0129 | 3.0229 |
|
| 146 |
+
| 0.0252 | 9.03 | 7900 | 3.0680 | 0.6330 | 5.0212 | -1.1246 | 0.6165 | 6.1458 | 2.0236 | 3.0565 | 3.0670 |
|
| 147 |
+
| 0.0652 | 9.14 | 8000 | 3.1190 | 0.6351 | 4.3150 | -1.9926 | 0.6165 | 6.3076 | 2.0196 | 3.1234 | 3.1345 |
|
| 148 |
+
| 0.0201 | 9.26 | 8100 | 3.1413 | 0.6289 | 4.7573 | -1.5726 | 0.6165 | 6.3299 | 2.0164 | 3.1389 | 3.1503 |
|
| 149 |
+
| 0.0443 | 9.37 | 8200 | 3.1135 | 0.6247 | 4.3945 | -1.9119 | 0.6125 | 6.3065 | 2.0140 | 3.1029 | 3.1139 |
|
| 150 |
+
| 0.0186 | 9.49 | 8300 | 3.1597 | 0.6289 | 3.7131 | -2.6943 | 0.6165 | 6.4074 | 2.0114 | 3.1487 | 3.1602 |
|
| 151 |
+
| 0.0352 | 9.6 | 8400 | 3.1513 | 0.6247 | 3.9594 | -2.4902 | 0.6085 | 6.4496 | 2.0100 | 3.1409 | 3.1523 |
|
| 152 |
+
| 0.0225 | 9.71 | 8500 | 3.1966 | 0.6227 | 4.9750 | -1.5016 | 0.6125 | 6.4766 | 2.0095 | 3.1854 | 3.1973 |
|
| 153 |
+
| 0.0385 | 9.83 | 8600 | 3.2165 | 0.6268 | 4.9076 | -1.6079 | 0.6125 | 6.5155 | 2.0094 | 3.2082 | 3.2203 |
|
| 154 |
+
| 0.0266 | 9.94 | 8700 | 3.2160 | 0.6289 | 4.7138 | -1.7686 | 0.6145 | 6.4823 | 2.0087 | 3.2131 | 3.2252 |
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
### Framework versions
|
| 158 |
+
|
| 159 |
+
- Transformers 4.37.2
|
| 160 |
+
- Pytorch 2.4.0+cu121
|
| 161 |
+
- Datasets 2.21.0
|
| 162 |
+
- Tokenizers 0.15.2
|
config.json
ADDED
|
@@ -0,0 +1,37 @@
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| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/opt-1.3b",
|
| 3 |
+
"_remove_final_layer_norm": false,
|
| 4 |
+
"activation_dropout": 0.0,
|
| 5 |
+
"activation_function": "relu",
|
| 6 |
+
"architectures": [
|
| 7 |
+
"OPTForSequenceClassification"
|
| 8 |
+
],
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"bos_token_id": 2,
|
| 11 |
+
"do_layer_norm_before": true,
|
| 12 |
+
"dropout": 0.1,
|
| 13 |
+
"enable_bias": true,
|
| 14 |
+
"eos_token_id": 2,
|
| 15 |
+
"ffn_dim": 8192,
|
| 16 |
+
"hidden_size": 2048,
|
| 17 |
+
"id2label": {
|
| 18 |
+
"0": "LABEL_0"
|
| 19 |
+
},
|
| 20 |
+
"init_std": 0.02,
|
| 21 |
+
"label2id": {
|
| 22 |
+
"LABEL_0": 0
|
| 23 |
+
},
|
| 24 |
+
"layer_norm_elementwise_affine": true,
|
| 25 |
+
"layerdrop": 0.0,
|
| 26 |
+
"max_position_embeddings": 2048,
|
| 27 |
+
"model_type": "opt",
|
| 28 |
+
"num_attention_heads": 32,
|
| 29 |
+
"num_hidden_layers": 24,
|
| 30 |
+
"pad_token_id": 1,
|
| 31 |
+
"prefix": "</s>",
|
| 32 |
+
"torch_dtype": "float32",
|
| 33 |
+
"transformers_version": "4.37.2",
|
| 34 |
+
"use_cache": true,
|
| 35 |
+
"vocab_size": 50272,
|
| 36 |
+
"word_embed_proj_dim": 2048
|
| 37 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:94dea9c2fad6aa9887b61a11d4536714b2a4b768e24e242581499f39e30e053f
|
| 3 |
+
size 4994509120
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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|
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:7fa9e152078dcc6b560bc05674c7d8c08054ad76334f3b2eb014626479fe7717
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| 3 |
+
size 680405464
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model.safetensors.index.json
ADDED
|
@@ -0,0 +1,397 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 397 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<pad>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "</s>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"1": {
|
| 6 |
+
"content": "<pad>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"2": {
|
| 14 |
+
"content": "</s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": true,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"bos_token": "</s>",
|
| 23 |
+
"clean_up_tokenization_spaces": true,
|
| 24 |
+
"eos_token": "</s>",
|
| 25 |
+
"errors": "replace",
|
| 26 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 27 |
+
"pad_token": "<pad>",
|
| 28 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 29 |
+
"unk_token": "</s>"
|
| 30 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c88b3168f77ed23e4d33b4865e9a03450de941e8bbe9117268befc0db9614f93
|
| 3 |
+
size 4856
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|