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AlekseyKorshuk
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dalio-all-io-1.3b-3-epoch

Text Generation
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opt
Generated from Trainer
Eval Results
text-generation-inference
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+ ---
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+ license: other
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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: dalio-all-io-1.3b-3-epoch
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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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+ # dalio-all-io-1.3b-3-epoch
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+
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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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+ - Loss: 2.3008
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+ - Accuracy: 0.0584
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 16
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+ - total_eval_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: cosine
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6543 | 0.03 | 1 | 2.6113 | 0.0513 |
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+ | 2.6077 | 0.07 | 2 | 2.6113 | 0.0513 |
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+ | 2.5964 | 0.1 | 3 | 2.5605 | 0.0519 |
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+ | 2.7302 | 0.14 | 4 | 2.5234 | 0.0526 |
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+ | 2.7004 | 0.17 | 5 | 2.5078 | 0.0529 |
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+ | 2.5681 | 0.21 | 6 | 2.4941 | 0.0532 |
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+ | 2.6404 | 0.24 | 7 | 2.4883 | 0.0534 |
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+ | 2.5325 | 0.28 | 8 | 2.4805 | 0.0536 |
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+ | 2.7205 | 0.31 | 9 | 2.4746 | 0.0536 |
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+ | 2.5149 | 0.34 | 10 | 2.4648 | 0.0533 |
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+ | 2.5017 | 0.38 | 11 | 2.4512 | 0.0535 |
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+ | 2.7026 | 0.41 | 12 | 2.4395 | 0.0539 |
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+ | 2.5259 | 0.45 | 13 | 2.4316 | 0.0543 |
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+ | 2.563 | 0.48 | 14 | 2.4219 | 0.0546 |
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+ | 2.5679 | 0.52 | 15 | 2.4141 | 0.0550 |
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+ | 2.3701 | 0.55 | 16 | 2.4082 | 0.0551 |
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+ | 2.4739 | 0.59 | 17 | 2.4082 | 0.0551 |
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+ | 2.481 | 0.62 | 18 | 2.4023 | 0.0548 |
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+ | 2.5795 | 0.66 | 19 | 2.3945 | 0.0549 |
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+ | 2.4902 | 0.69 | 20 | 2.3867 | 0.0549 |
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+ | 2.4509 | 0.72 | 21 | 2.3809 | 0.0551 |
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+ | 2.6052 | 0.76 | 22 | 2.3730 | 0.0553 |
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+ | 2.3323 | 0.79 | 23 | 2.3633 | 0.0555 |
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+ | 2.5994 | 0.83 | 24 | 2.3555 | 0.0556 |
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+ | 2.3347 | 0.86 | 25 | 2.3477 | 0.0556 |
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+ | 2.421 | 0.9 | 26 | 2.3398 | 0.0559 |
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+ | 2.5337 | 0.93 | 27 | 2.3359 | 0.0560 |
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+ | 2.4102 | 0.97 | 28 | 2.3320 | 0.0563 |
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+ | 2.4309 | 1.0 | 29 | 2.3262 | 0.0564 |
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+ | 1.9305 | 1.03 | 30 | 2.3223 | 0.0564 |
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+ | 1.8601 | 1.07 | 31 | 2.3203 | 0.0567 |
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+ | 1.8682 | 1.1 | 32 | 2.3281 | 0.0564 |
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+ | 1.8657 | 1.14 | 33 | 2.3535 | 0.0564 |
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+ | 2.063 | 1.17 | 34 | 2.3398 | 0.0567 |
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+ | 1.6443 | 1.21 | 35 | 2.3242 | 0.0568 |
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+ | 1.7592 | 1.24 | 36 | 2.3164 | 0.0569 |
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+ | 1.8981 | 1.28 | 37 | 2.3105 | 0.0569 |
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+ | 1.9379 | 1.31 | 38 | 2.3047 | 0.0573 |
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+ | 1.6008 | 1.34 | 39 | 2.3027 | 0.0574 |
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+ | 1.595 | 1.38 | 40 | 2.3027 | 0.0575 |
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+ | 1.7096 | 1.41 | 41 | 2.3027 | 0.0575 |
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+ | 1.7245 | 1.45 | 42 | 2.3027 | 0.0576 |
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+ | 1.795 | 1.48 | 43 | 2.3008 | 0.0577 |
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+ | 1.7241 | 1.52 | 44 | 2.3008 | 0.0576 |
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+ | 1.6356 | 1.55 | 45 | 2.2988 | 0.0576 |
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+ | 1.77 | 1.59 | 46 | 2.2969 | 0.0576 |
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+ | 1.6675 | 1.62 | 47 | 2.2930 | 0.0577 |
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+ | 1.6929 | 1.66 | 48 | 2.2910 | 0.0577 |
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+ | 1.6635 | 1.69 | 49 | 2.2910 | 0.0576 |
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+ | 1.6093 | 1.72 | 50 | 2.2910 | 0.0578 |
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+ | 1.7362 | 1.76 | 51 | 2.2891 | 0.0580 |
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+ | 1.7015 | 1.79 | 52 | 2.2852 | 0.0581 |
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+ | 1.9515 | 1.83 | 53 | 2.2812 | 0.0582 |
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+ | 1.6494 | 1.86 | 54 | 2.2773 | 0.0580 |
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+ | 1.7522 | 1.9 | 55 | 2.2734 | 0.0580 |
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+ | 1.7369 | 1.93 | 56 | 2.2676 | 0.0581 |
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+ | 1.6528 | 1.97 | 57 | 2.2637 | 0.0581 |
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+ | 1.51 | 2.0 | 58 | 2.2617 | 0.0583 |
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+ | 1.4579 | 2.03 | 59 | 2.2637 | 0.0585 |
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+ | 1.2645 | 2.07 | 60 | 2.2695 | 0.0585 |
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+ | 1.2424 | 2.1 | 61 | 2.2773 | 0.0584 |
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+ | 1.2117 | 2.14 | 62 | 2.2891 | 0.0584 |
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+ | 1.4059 | 2.17 | 63 | 2.3008 | 0.0580 |
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+ | 1.328 | 2.21 | 64 | 2.3145 | 0.0581 |
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+ | 1.3436 | 2.24 | 65 | 2.3281 | 0.0580 |
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+ | 1.389 | 2.28 | 66 | 2.3379 | 0.0580 |
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+ | 1.2127 | 2.31 | 67 | 2.3398 | 0.0580 |
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+ | 1.3645 | 2.34 | 68 | 2.3418 | 0.0581 |
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+ | 1.3389 | 2.38 | 69 | 2.3379 | 0.0581 |
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+ | 1.2549 | 2.41 | 70 | 2.3320 | 0.0581 |
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+ | 1.2193 | 2.45 | 71 | 2.3281 | 0.0582 |
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+ | 1.3617 | 2.48 | 72 | 2.3223 | 0.0583 |
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+ | 1.2336 | 2.52 | 73 | 2.3184 | 0.0583 |
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+ | 1.179 | 2.55 | 74 | 2.3145 | 0.0583 |
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+ | 1.2468 | 2.59 | 75 | 2.3125 | 0.0583 |
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+ | 1.3325 | 2.62 | 76 | 2.3086 | 0.0583 |
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+ | 1.1471 | 2.66 | 77 | 2.3066 | 0.0583 |
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+ | 1.3123 | 2.69 | 78 | 2.3066 | 0.0583 |
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+ | 1.3285 | 2.72 | 79 | 2.3047 | 0.0585 |
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+ | 1.3232 | 2.76 | 80 | 2.3027 | 0.0584 |
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+ | 1.1228 | 2.79 | 81 | 2.3027 | 0.0584 |
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+ | 1.3524 | 2.83 | 82 | 2.3027 | 0.0584 |
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+ | 1.2042 | 2.86 | 83 | 2.3027 | 0.0583 |
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+ | 1.3588 | 2.9 | 84 | 2.3008 | 0.0583 |
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+ | 1.2982 | 2.93 | 85 | 2.3008 | 0.0584 |
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+ | 1.4373 | 2.97 | 86 | 2.3008 | 0.0585 |
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+ | 1.3562 | 3.0 | 87 | 2.3008 | 0.0584 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.0.dev0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1