Commit
·
061a7e0
1
Parent(s):
2d20356
load model
Browse files- README.md +174 -0
- added_tokens.json +5 -0
- all_results.json +15 -0
- config.json +25 -0
- eval_results.json +10 -0
- generation_config.json +6 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +298 -0
- special_tokens_map.json +10 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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---
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base_model: mistral_rulm_unigram_init_20_10_23
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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: mistral7b_darulm_unigram_1e_20_10_23
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results: []
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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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# mistral7b_darulm_unigram_1e_20_10_23
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This model is a fine-tuned version of [mistral_rulm_unigram_init_20_10_23](https://huggingface.co/mistral_rulm_unigram_init_20_10_23) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7017
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- Accuracy: 0.4706
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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: 0.0003
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 10
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 240
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- total_eval_batch_size: 60
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|
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| 3.1631 | 0.01 | 1000 | 3.1804 | 0.4182 |
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| 3.1124 | 0.02 | 2000 | 3.1065 | 0.4272 |
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| 3.0757 | 0.03 | 3000 | 3.0894 | 0.4288 |
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| 3.0488 | 0.04 | 4000 | 3.0630 | 0.4319 |
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| 3.0403 | 0.05 | 5000 | 3.0423 | 0.4336 |
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| 3.0172 | 0.05 | 6000 | 3.0384 | 0.4343 |
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| 3.0102 | 0.06 | 7000 | 3.0267 | 0.4360 |
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| 2.9888 | 0.07 | 8000 | 3.0190 | 0.4361 |
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| 3.0024 | 0.08 | 9000 | 3.0040 | 0.4385 |
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| 2.9948 | 0.09 | 10000 | 3.0058 | 0.4378 |
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| 2.9774 | 0.1 | 11000 | 2.9962 | 0.4389 |
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| 2.9818 | 0.11 | 12000 | 2.9964 | 0.4390 |
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| 2.9771 | 0.12 | 13000 | 2.9913 | 0.4396 |
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| 2.9786 | 0.13 | 14000 | 2.9915 | 0.4391 |
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| 2.9866 | 0.14 | 15000 | 2.9924 | 0.4394 |
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| 2.9751 | 0.14 | 16000 | 2.9918 | 0.4389 |
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| 2.9702 | 0.15 | 17000 | 2.9926 | 0.4393 |
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| 2.9695 | 0.16 | 18000 | 2.9816 | 0.4401 |
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| 2.9615 | 0.17 | 19000 | 2.9826 | 0.4402 |
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| 2.9609 | 0.18 | 20000 | 2.9791 | 0.4406 |
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| 2.9607 | 0.19 | 21000 | 2.9684 | 0.4416 |
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| 2.9533 | 0.2 | 22000 | 2.9677 | 0.4422 |
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| 2.9513 | 0.21 | 23000 | 2.9676 | 0.4421 |
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| 2.9563 | 0.22 | 24000 | 2.9610 | 0.4429 |
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| 2.9466 | 0.23 | 25000 | 2.9627 | 0.4424 |
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| 2.9431 | 0.24 | 26000 | 2.9590 | 0.4424 |
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| 2.9412 | 0.24 | 27000 | 2.9525 | 0.4436 |
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| 2.9299 | 0.25 | 28000 | 2.9504 | 0.4435 |
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| 2.9332 | 0.26 | 29000 | 2.9486 | 0.4435 |
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| 2.9255 | 0.27 | 30000 | 2.9425 | 0.4442 |
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| 2.9242 | 0.28 | 31000 | 2.9459 | 0.4434 |
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| 2.9242 | 0.29 | 32000 | 2.9378 | 0.4445 |
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| 2.9267 | 0.3 | 33000 | 2.9316 | 0.4453 |
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| 2.9151 | 0.31 | 34000 | 2.9315 | 0.4454 |
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| 2.9105 | 0.32 | 35000 | 2.9286 | 0.4456 |
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| 2.9053 | 0.33 | 36000 | 2.9242 | 0.4457 |
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| 2.9023 | 0.33 | 37000 | 2.9195 | 0.4466 |
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| 2.8946 | 0.34 | 38000 | 2.9177 | 0.4468 |
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| 2.9037 | 0.35 | 39000 | 2.9147 | 0.4470 |
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| 2.8893 | 0.36 | 40000 | 2.9130 | 0.4468 |
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| 2.8891 | 0.37 | 41000 | 2.9055 | 0.4481 |
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| 2.8851 | 0.38 | 42000 | 2.9017 | 0.4485 |
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| 2.8909 | 0.39 | 43000 | 2.9011 | 0.4483 |
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| 2.896 | 0.4 | 44000 | 2.9061 | 0.4479 |
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| 2.8918 | 0.41 | 45000 | 2.9043 | 0.4479 |
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| 2.8847 | 0.42 | 46000 | 2.8954 | 0.4490 |
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| 2.8749 | 0.42 | 47000 | 2.8912 | 0.4494 |
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| 2.8832 | 0.43 | 48000 | 2.8912 | 0.4496 |
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| 2.8745 | 0.44 | 49000 | 2.8853 | 0.4500 |
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| 2.8717 | 0.45 | 50000 | 2.8834 | 0.4502 |
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| 2.8659 | 0.46 | 51000 | 2.8831 | 0.4503 |
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| 2.865 | 0.47 | 52000 | 2.8784 | 0.4505 |
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| 2.8575 | 0.48 | 53000 | 2.8763 | 0.4508 |
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| 2.8571 | 0.49 | 54000 | 2.8741 | 0.4513 |
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| 2.8554 | 0.5 | 55000 | 2.8704 | 0.4514 |
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| 2.8526 | 0.51 | 56000 | 2.8669 | 0.4519 |
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| 2.8521 | 0.52 | 57000 | 2.8618 | 0.4525 |
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| 2.8398 | 0.52 | 58000 | 2.8600 | 0.4522 |
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| 2.8398 | 0.53 | 59000 | 2.8576 | 0.4528 |
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| 2.837 | 0.54 | 60000 | 2.8536 | 0.4528 |
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| 2.837 | 0.55 | 61000 | 2.8519 | 0.4535 |
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| 2.8427 | 0.56 | 62000 | 2.8493 | 0.4536 |
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| 2.8365 | 0.57 | 63000 | 2.8468 | 0.4541 |
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| 2.8327 | 0.58 | 64000 | 2.8447 | 0.4539 |
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| 2.8289 | 0.59 | 65000 | 2.8388 | 0.4546 |
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| 2.8166 | 0.6 | 66000 | 2.8346 | 0.4547 |
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| 2.8171 | 0.61 | 67000 | 2.8294 | 0.4558 |
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| 2.8184 | 0.61 | 68000 | 2.8269 | 0.4556 |
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| 2.8102 | 0.62 | 69000 | 2.8243 | 0.4563 |
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| 2.8153 | 0.63 | 70000 | 2.8211 | 0.4564 |
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| 2.8035 | 0.64 | 71000 | 2.8185 | 0.4569 |
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| 2.8042 | 0.65 | 72000 | 2.8206 | 0.4569 |
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| 2.7984 | 0.66 | 73000 | 2.8138 | 0.4574 |
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| 2.7883 | 0.67 | 74000 | 2.8112 | 0.4574 |
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| 2.7962 | 0.68 | 75000 | 2.8056 | 0.4584 |
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| 2.7937 | 0.69 | 76000 | 2.8068 | 0.4582 |
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| 2.7853 | 0.7 | 77000 | 2.8011 | 0.4588 |
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| 2.7798 | 0.71 | 78000 | 2.7954 | 0.4597 |
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| 2.7851 | 0.71 | 79000 | 2.7913 | 0.4598 |
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| 2.7831 | 0.72 | 80000 | 2.7897 | 0.4600 |
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| 2.7773 | 0.73 | 81000 | 2.7862 | 0.4603 |
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| 2.7688 | 0.74 | 82000 | 2.7836 | 0.4609 |
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| 2.7658 | 0.75 | 83000 | 2.7798 | 0.4610 |
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| 2.7622 | 0.76 | 84000 | 2.7815 | 0.4612 |
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| 2.7691 | 0.77 | 85000 | 2.7783 | 0.4612 |
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| 2.7579 | 0.78 | 86000 | 2.7712 | 0.4619 |
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| 2.7614 | 0.79 | 87000 | 2.7673 | 0.4625 |
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| 2.7592 | 0.8 | 88000 | 2.7691 | 0.4623 |
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| 2.7551 | 0.8 | 89000 | 2.7607 | 0.4634 |
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| 2.7397 | 0.81 | 90000 | 2.7579 | 0.4637 |
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| 2.7357 | 0.82 | 91000 | 2.7580 | 0.4636 |
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| 2.7452 | 0.83 | 92000 | 2.7517 | 0.4643 |
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| 2.7418 | 0.84 | 93000 | 2.7533 | 0.4641 |
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| 2.7379 | 0.85 | 94000 | 2.7481 | 0.4647 |
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| 2.7308 | 0.86 | 95000 | 2.7460 | 0.4654 |
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| 2.727 | 0.87 | 96000 | 2.7408 | 0.4655 |
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| 2.7282 | 0.88 | 97000 | 2.7351 | 0.4664 |
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| 2.7133 | 0.89 | 98000 | 2.7301 | 0.4669 |
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| 2.7136 | 0.9 | 99000 | 2.7251 | 0.4673 |
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| 2.7108 | 0.9 | 100000 | 2.7208 | 0.4679 |
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| 2.7051 | 0.91 | 101000 | 2.7192 | 0.4681 |
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| 2.7013 | 0.92 | 102000 | 2.7151 | 0.4687 |
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| 2.6996 | 0.93 | 103000 | 2.7129 | 0.4689 |
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| 2.6898 | 0.94 | 104000 | 2.7084 | 0.4694 |
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| 2.688 | 0.95 | 105000 | 2.7053 | 0.4697 |
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| 2.6855 | 0.96 | 106000 | 2.7018 | 0.4701 |
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| 2.6852 | 0.97 | 107000 | 2.6989 | 0.4705 |
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| 2.689 | 0.98 | 108000 | 2.6982 | 0.4705 |
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| 2.6868 | 0.99 | 109000 | 2.6994 | 0.4707 |
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| 2.6901 | 0.99 | 110000 | 2.7006 | 0.4707 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"</s>": 2,
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"<s>": 1,
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"<unk>": 0
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}
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all_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.4705979136988746,
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"eval_loss": 2.7016727924346924,
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"eval_runtime": 44.4742,
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"eval_samples": 6483,
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"eval_samples_per_second": 145.77,
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"eval_steps_per_second": 2.451,
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"perplexity": 14.904643257635199,
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"train_loss": 2.8584754099769967,
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"train_runtime": 318077.2613,
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"train_samples": 26545790,
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"train_samples_per_second": 83.457,
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"train_steps_per_second": 0.348
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}
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config.json
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{
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"_name_or_path": "mistral_rulm_unigram_init_20_10_23",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.34.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.4705979136988746,
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"eval_loss": 2.7016727924346924,
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"eval_runtime": 44.4742,
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"eval_samples": 6483,
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"eval_samples_per_second": 145.77,
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"eval_steps_per_second": 2.451,
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"perplexity": 14.904643257635199
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.34.0"
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}
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pytorch_model-00001-of-00002.bin
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
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{
|
2 |
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"added_tokens_decoder": {
|
3 |
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"0": {
|
4 |
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|
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|
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|
10 |
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},
|
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|
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"content": "<s>",
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|
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"special": true
|
18 |
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},
|
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"2": {
|
20 |
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|
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"rstrip": false,
|
24 |
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"single_word": false,
|
25 |
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"special": true
|
26 |
+
}
|
27 |
+
},
|
28 |
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"additional_special_tokens": [
|
29 |
+
"<unk>",
|
30 |
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"<s>",
|
31 |
+
"</s>"
|
32 |
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],
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33 |
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"bos_token": "<s>",
|
34 |
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"clean_up_tokenization_spaces": false,
|
35 |
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": null,
|
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"sp_model_kwargs": {
|
40 |
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"model_file": "darulm_unigram_tokenizer.model"
|
41 |
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},
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42 |
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"spaces_between_special_tokens": false,
|
43 |
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"tokenizer_class": "LlamaTokenizer",
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44 |
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"unk_token": "<unk>",
|
45 |
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"use_default_system_prompt": true
|
46 |
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|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
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{
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"epoch": 1.0,
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"train_runtime": 318077.2613,
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|
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}
|
trainer_state.json
ADDED
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|
|
training_args.bin
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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oid sha256:2bf702c6fd0b530cef25e13053674d2f174e81f4ca5f1f14ad7542392474cb6f
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3 |
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size 5563
|