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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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datasets: |
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- AlekseyKorshuk/amazon-reviews-input-output |
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metrics: |
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- accuracy |
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model-index: |
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- name: amazon-reviews-input-output-1.3b |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: AlekseyKorshuk/amazon-reviews-input-output |
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type: AlekseyKorshuk/amazon-reviews-input-output |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.03550813008130081 |
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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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# amazon-reviews-input-output-1.3b |
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This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the AlekseyKorshuk/amazon-reviews-input-output dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5488 |
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- Accuracy: 0.0355 |
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- Samples: 100 |
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- Perplexity: 34.7725 |
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- Table: <wandb.data_types.Table object at 0x7ffa3c3fd700> |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 64 |
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- total_eval_batch_size: 64 |
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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: 5.0 |
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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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| 3.2024 | 0.06 | 1 | 2.9121 | 0.0385 | |
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| 3.1226 | 0.12 | 2 | 2.9121 | 0.0385 | |
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| 3.1321 | 0.19 | 3 | 2.8477 | 0.0394 | |
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| 2.9875 | 0.25 | 4 | 2.8477 | 0.0394 | |
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| 2.9717 | 0.31 | 5 | 2.8555 | 0.0391 | |
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| 2.9341 | 0.38 | 6 | 2.8438 | 0.0392 | |
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| 3.0376 | 0.44 | 7 | 2.8184 | 0.0396 | |
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| 2.8164 | 0.5 | 8 | 2.7988 | 0.0395 | |
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| 3.0857 | 0.56 | 9 | 2.7988 | 0.0394 | |
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| 2.9492 | 0.62 | 10 | 2.7969 | 0.0395 | |
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| 2.8633 | 0.69 | 11 | 2.7969 | 0.0395 | |
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| 2.8994 | 0.75 | 12 | 2.7910 | 0.0398 | |
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| 3.0024 | 0.81 | 13 | 2.7812 | 0.0401 | |
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| 2.937 | 0.88 | 14 | 2.7812 | 0.0399 | |
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| 2.9963 | 0.94 | 15 | 2.7812 | 0.0399 | |
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| 3.0168 | 1.0 | 16 | 2.7754 | 0.04 | |
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| 2.2589 | 1.06 | 17 | 2.7715 | 0.0397 | |
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| 2.2568 | 1.12 | 18 | 2.7793 | 0.0395 | |
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| 2.3138 | 1.19 | 19 | 2.8027 | 0.0393 | |
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| 2.2759 | 1.25 | 20 | 2.8184 | 0.0393 | |
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| 2.5137 | 1.31 | 21 | 2.8262 | 0.0390 | |
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| 2.2997 | 1.38 | 22 | 2.8320 | 0.0388 | |
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| 2.2693 | 1.44 | 23 | 2.8359 | 0.0392 | |
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| 2.204 | 1.5 | 24 | 2.8379 | 0.0387 | |
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| 2.3713 | 1.56 | 25 | 2.8359 | 0.0391 | |
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| 2.3448 | 1.62 | 26 | 2.8340 | 0.0391 | |
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| 2.217 | 1.69 | 27 | 2.8359 | 0.0391 | |
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| 2.3082 | 1.75 | 28 | 2.8379 | 0.0385 | |
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| 2.2878 | 1.81 | 29 | 2.8379 | 0.0386 | |
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| 2.2429 | 1.88 | 30 | 2.8379 | 0.0385 | |
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| 2.2838 | 1.94 | 31 | 2.8359 | 0.0385 | |
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| 2.4038 | 2.0 | 32 | 2.8379 | 0.0387 | |
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| 1.8481 | 2.06 | 33 | 2.8555 | 0.0384 | |
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| 1.657 | 2.12 | 34 | 2.8965 | 0.0382 | |
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| 1.6996 | 2.19 | 35 | 2.9590 | 0.0380 | |
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| 1.6741 | 2.25 | 36 | 3.0312 | 0.0379 | |
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| 1.594 | 2.31 | 37 | 3.0410 | 0.0380 | |
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| 1.5201 | 2.38 | 38 | 3.0156 | 0.0381 | |
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| 1.5149 | 2.44 | 39 | 3.0137 | 0.0380 | |
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| 1.5521 | 2.5 | 40 | 3.0176 | 0.0379 | |
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| 1.5364 | 2.56 | 41 | 3.0273 | 0.0378 | |
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| 1.5385 | 2.62 | 42 | 3.0391 | 0.0380 | |
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| 1.4794 | 2.69 | 43 | 3.0488 | 0.0380 | |
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| 1.4313 | 2.75 | 44 | 3.0527 | 0.0378 | |
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| 1.5071 | 2.81 | 45 | 3.0469 | 0.0378 | |
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| 1.4799 | 2.88 | 46 | 3.0449 | 0.0378 | |
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| 1.521 | 2.94 | 47 | 3.0371 | 0.0380 | |
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| 1.4603 | 3.0 | 48 | 3.0410 | 0.0379 | |
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| 1.25 | 3.06 | 49 | 3.0859 | 0.0381 | |
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| 1.0411 | 3.12 | 50 | 3.1797 | 0.0375 | |
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| 1.0385 | 3.19 | 51 | 3.2969 | 0.0371 | |
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| 1.0254 | 3.25 | 52 | 3.3613 | 0.0367 | |
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| 0.9656 | 3.31 | 53 | 3.3633 | 0.0368 | |
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| 1.036 | 3.38 | 54 | 3.3359 | 0.0366 | |
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| 0.9366 | 3.44 | 55 | 3.2949 | 0.0366 | |
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| 0.9712 | 3.5 | 56 | 3.2695 | 0.0367 | |
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| 1.0066 | 3.56 | 57 | 3.2676 | 0.0366 | |
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| 0.9952 | 3.62 | 58 | 3.2773 | 0.0368 | |
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| 1.0352 | 3.69 | 59 | 3.2891 | 0.0367 | |
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| 1.0212 | 3.75 | 60 | 3.3164 | 0.0362 | |
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| 0.9468 | 3.81 | 61 | 3.3203 | 0.0360 | |
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| 0.9155 | 3.88 | 62 | 3.3223 | 0.0366 | |
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| 0.8552 | 3.94 | 63 | 3.3262 | 0.0370 | |
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| 0.9575 | 4.0 | 64 | 3.3340 | 0.0370 | |
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| 0.6384 | 4.06 | 65 | 3.375 | 0.0370 | |
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| 0.6436 | 4.12 | 66 | 3.4453 | 0.0364 | |
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| 0.5752 | 4.19 | 67 | 3.5391 | 0.0358 | |
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| 0.6542 | 4.25 | 68 | 3.6016 | 0.0354 | |
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| 0.6724 | 4.31 | 69 | 3.6016 | 0.0354 | |
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| 0.591 | 4.38 | 70 | 3.5938 | 0.0359 | |
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| 0.5346 | 4.44 | 71 | 3.5801 | 0.0361 | |
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| 0.5112 | 4.5 | 72 | 3.5762 | 0.0361 | |
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| 0.5443 | 4.56 | 73 | 3.5840 | 0.0362 | |
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| 0.5689 | 4.62 | 74 | 3.6152 | 0.0358 | |
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| 0.5667 | 4.69 | 75 | 3.6328 | 0.0358 | |
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| 0.554 | 4.75 | 76 | 3.6348 | 0.0357 | |
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| 0.6087 | 4.81 | 77 | 3.625 | 0.0355 | |
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| 0.5236 | 4.88 | 78 | 3.6152 | 0.0355 | |
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| 0.5458 | 4.94 | 79 | 3.5781 | 0.0355 | |
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| 0.5702 | 5.0 | 80 | 3.5488 | 0.0355 | |
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### Framework versions |
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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 |
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