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ar08
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alpaca-test

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Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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  1. README.md +156 -0
  2. generation_config.json +7 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: alpaca-test
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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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+ # alpaca-test
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4690
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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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: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 13 | 10.1816 |
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+ | No log | 2.0 | 26 | 6.3483 |
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+ | No log | 3.0 | 39 | 3.6923 |
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+ | No log | 4.0 | 52 | 1.9466 |
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+ | No log | 5.0 | 65 | 1.0837 |
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+ | No log | 6.0 | 78 | 0.8578 |
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+ | No log | 7.0 | 91 | 0.8170 |
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+ | No log | 8.0 | 104 | 0.7665 |
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+ | No log | 9.0 | 117 | 0.7464 |
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+ | No log | 10.0 | 130 | 0.7227 |
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+ | No log | 11.0 | 143 | 0.7066 |
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+ | No log | 12.0 | 156 | 0.6916 |
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+ | No log | 13.0 | 169 | 0.6775 |
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+ | No log | 14.0 | 182 | 0.6691 |
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+ | No log | 15.0 | 195 | 0.6563 |
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+ | No log | 16.0 | 208 | 0.6450 |
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+ | No log | 17.0 | 221 | 0.6352 |
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+ | No log | 18.0 | 234 | 0.6260 |
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+ | No log | 19.0 | 247 | 0.6178 |
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+ | No log | 20.0 | 260 | 0.6083 |
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+ | No log | 21.0 | 273 | 0.6015 |
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+ | No log | 22.0 | 286 | 0.5942 |
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+ | No log | 23.0 | 299 | 0.5873 |
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+ | No log | 24.0 | 312 | 0.5821 |
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+ | No log | 25.0 | 325 | 0.5774 |
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+ | No log | 26.0 | 338 | 0.5718 |
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+ | No log | 27.0 | 351 | 0.5663 |
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+ | No log | 28.0 | 364 | 0.5618 |
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+ | No log | 29.0 | 377 | 0.5573 |
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+ | No log | 30.0 | 390 | 0.5529 |
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+ | No log | 31.0 | 403 | 0.5492 |
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+ | No log | 32.0 | 416 | 0.5455 |
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+ | No log | 33.0 | 429 | 0.5427 |
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+ | No log | 34.0 | 442 | 0.5394 |
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+ | No log | 35.0 | 455 | 0.5366 |
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+ | No log | 36.0 | 468 | 0.5336 |
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+ | No log | 37.0 | 481 | 0.5310 |
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+ | No log | 38.0 | 494 | 0.5288 |
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+ | No log | 39.0 | 507 | 0.5265 |
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+ | No log | 40.0 | 520 | 0.5237 |
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+ | No log | 41.0 | 533 | 0.5211 |
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+ | No log | 42.0 | 546 | 0.5190 |
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+ | No log | 43.0 | 559 | 0.5165 |
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+ | No log | 44.0 | 572 | 0.5143 |
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+ | No log | 45.0 | 585 | 0.5130 |
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+ | No log | 46.0 | 598 | 0.5115 |
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+ | No log | 47.0 | 611 | 0.5101 |
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+ | No log | 48.0 | 624 | 0.5085 |
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+ | No log | 49.0 | 637 | 0.5067 |
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+ | No log | 50.0 | 650 | 0.5051 |
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+ | No log | 51.0 | 663 | 0.5035 |
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+ | No log | 52.0 | 676 | 0.5021 |
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+ | No log | 53.0 | 689 | 0.5008 |
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+ | No log | 54.0 | 702 | 0.4992 |
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+ | No log | 55.0 | 715 | 0.4979 |
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+ | No log | 56.0 | 728 | 0.4963 |
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+ | No log | 57.0 | 741 | 0.4950 |
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+ | No log | 58.0 | 754 | 0.4937 |
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+ | No log | 59.0 | 767 | 0.4924 |
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+ | No log | 60.0 | 780 | 0.4911 |
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+ | No log | 61.0 | 793 | 0.4899 |
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+ | No log | 62.0 | 806 | 0.4886 |
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+ | No log | 63.0 | 819 | 0.4874 |
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+ | No log | 64.0 | 832 | 0.4869 |
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+ | No log | 65.0 | 845 | 0.4861 |
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+ | No log | 66.0 | 858 | 0.4850 |
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+ | No log | 67.0 | 871 | 0.4838 |
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+ | No log | 68.0 | 884 | 0.4828 |
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+ | No log | 69.0 | 897 | 0.4817 |
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+ | No log | 70.0 | 910 | 0.4808 |
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+ | No log | 71.0 | 923 | 0.4799 |
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+ | No log | 72.0 | 936 | 0.4790 |
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+ | No log | 73.0 | 949 | 0.4781 |
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+ | No log | 74.0 | 962 | 0.4776 |
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+ | No log | 75.0 | 975 | 0.4769 |
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+ | No log | 76.0 | 988 | 0.4763 |
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+ | 1.1637 | 77.0 | 1001 | 0.4756 |
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+ | 1.1637 | 78.0 | 1014 | 0.4751 |
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+ | 1.1637 | 79.0 | 1027 | 0.4744 |
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+ | 1.1637 | 80.0 | 1040 | 0.4739 |
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+ | 1.1637 | 81.0 | 1053 | 0.4734 |
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+ | 1.1637 | 82.0 | 1066 | 0.4729 |
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+ | 1.1637 | 83.0 | 1079 | 0.4725 |
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+ | 1.1637 | 84.0 | 1092 | 0.4722 |
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+ | 1.1637 | 85.0 | 1105 | 0.4719 |
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+ | 1.1637 | 86.0 | 1118 | 0.4716 |
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+ | 1.1637 | 87.0 | 1131 | 0.4713 |
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+ | 1.1637 | 88.0 | 1144 | 0.4710 |
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+ | 1.1637 | 89.0 | 1157 | 0.4707 |
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+ | 1.1637 | 90.0 | 1170 | 0.4703 |
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+ | 1.1637 | 91.0 | 1183 | 0.4701 |
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+ | 1.1637 | 92.0 | 1196 | 0.4699 |
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+ | 1.1637 | 93.0 | 1209 | 0.4697 |
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+ | 1.1637 | 94.0 | 1222 | 0.4695 |
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+ | 1.1637 | 95.0 | 1235 | 0.4694 |
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+ | 1.1637 | 96.0 | 1248 | 0.4692 |
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+ | 1.1637 | 97.0 | 1261 | 0.4691 |
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+ | 1.1637 | 98.0 | 1274 | 0.4691 |
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+ | 1.1637 | 99.0 | 1287 | 0.4691 |
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+ | 1.1637 | 100.0 | 1300 | 0.4690 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.41.2"
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+ }