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Vasanth
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chessdevilai

Text Generation
Transformers
Safetensors
gpt_neox
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
Vasanth commited on
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End of training

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Files changed (8) hide show
  1. README.md +154 -0
  2. config.json +30 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
  5. special_tokens_map.json +24 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +214 -0
  8. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-70m-deduped
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: chessdevilai
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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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+ # chessdevilai
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9229
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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: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: cosine
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+ - num_epochs: 1
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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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+ | 1.4125 | 0.0101 | 19 | 1.4113 |
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+ | 1.2711 | 0.0203 | 38 | 1.2734 |
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+ | 1.275 | 0.0304 | 57 | 1.2185 |
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+ | 1.2618 | 0.0405 | 76 | 1.1850 |
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+ | 1.2098 | 0.0507 | 95 | 1.1672 |
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+ | 1.1458 | 0.0608 | 114 | 1.1452 |
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+ | 1.1457 | 0.0709 | 133 | 1.1275 |
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+ | 1.1003 | 0.0811 | 152 | 1.1198 |
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+ | 1.1089 | 0.0912 | 171 | 1.1120 |
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+ | 1.1051 | 0.1013 | 190 | 1.0940 |
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+ | 1.06 | 0.1115 | 209 | 1.0922 |
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+ | 1.0822 | 0.1216 | 228 | 1.0840 |
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+ | 1.0617 | 0.1317 | 247 | 1.0745 |
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+ | 1.0888 | 0.1419 | 266 | 1.0689 |
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+ | 1.0703 | 0.152 | 285 | 1.0629 |
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+ | 1.0849 | 0.1621 | 304 | 1.0559 |
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+ | 1.0098 | 0.1723 | 323 | 1.0513 |
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+ | 1.0548 | 0.1824 | 342 | 1.0480 |
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+ | 1.0344 | 0.1925 | 361 | 1.0453 |
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+ | 1.1181 | 0.2027 | 380 | 1.0379 |
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+ | 1.0027 | 0.2128 | 399 | 1.0370 |
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+ | 0.9994 | 0.2229 | 418 | 1.0329 |
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+ | 1.0089 | 0.2331 | 437 | 1.0315 |
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+ | 1.1145 | 0.2432 | 456 | 1.0243 |
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+ | 1.024 | 0.2533 | 475 | 1.0247 |
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+ | 1.0804 | 0.2635 | 494 | 1.0207 |
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+ | 1.0525 | 0.2736 | 513 | 1.0189 |
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+ | 1.0473 | 0.2837 | 532 | 1.0177 |
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+ | 1.0761 | 0.2939 | 551 | 1.0098 |
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+ | 0.9665 | 0.304 | 570 | 1.0065 |
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+ | 0.9576 | 0.3141 | 589 | 1.0043 |
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+ | 1.0517 | 0.3243 | 608 | 1.0063 |
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+ | 1.0393 | 0.3344 | 627 | 1.0029 |
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+ | 0.9573 | 0.3445 | 646 | 1.0048 |
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+ | 1.0322 | 0.3547 | 665 | 1.0001 |
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+ | 1.0246 | 0.3648 | 684 | 0.9922 |
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+ | 0.9412 | 0.3749 | 703 | 0.9923 |
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+ | 1.0155 | 0.3851 | 722 | 0.9910 |
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+ | 1.0375 | 0.3952 | 741 | 0.9849 |
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+ | 0.9608 | 0.4053 | 760 | 0.9859 |
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+ | 1.0077 | 0.4155 | 779 | 0.9820 |
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+ | 0.9509 | 0.4256 | 798 | 0.9820 |
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+ | 0.9974 | 0.4357 | 817 | 0.9802 |
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+ | 0.953 | 0.4459 | 836 | 0.9789 |
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+ | 0.9422 | 0.456 | 855 | 0.9756 |
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+ | 0.9781 | 0.4661 | 874 | 0.9757 |
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+ | 1.008 | 0.4763 | 893 | 0.9729 |
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+ | 0.9776 | 0.4864 | 912 | 0.9736 |
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+ | 0.996 | 0.4965 | 931 | 0.9707 |
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+ | 0.9971 | 0.5067 | 950 | 0.9676 |
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+ | 0.9908 | 0.5168 | 969 | 0.9668 |
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+ | 0.984 | 0.5269 | 988 | 0.9627 |
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+ | 0.9498 | 0.5371 | 1007 | 0.9627 |
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+ | 0.9978 | 0.5472 | 1026 | 0.9590 |
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+ | 0.9228 | 0.5573 | 1045 | 0.9577 |
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+ | 0.9223 | 0.5675 | 1064 | 0.9579 |
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+ | 0.984 | 0.5776 | 1083 | 0.9564 |
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+ | 0.955 | 0.5877 | 1102 | 0.9527 |
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+ | 0.9582 | 0.5979 | 1121 | 0.9519 |
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+ | 0.9493 | 0.608 | 1140 | 0.9508 |
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+ | 0.9451 | 0.6181 | 1159 | 0.9491 |
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+ | 0.9552 | 0.6283 | 1178 | 0.9486 |
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+ | 0.9433 | 0.6384 | 1197 | 0.9456 |
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+ | 0.967 | 0.6485 | 1216 | 0.9451 |
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+ | 0.9235 | 0.6587 | 1235 | 0.9424 |
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+ | 0.9173 | 0.6688 | 1254 | 0.9433 |
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+ | 0.9439 | 0.6789 | 1273 | 0.9408 |
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+ | 0.97 | 0.6891 | 1292 | 0.9403 |
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+ | 0.9765 | 0.6992 | 1311 | 0.9387 |
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+ | 0.9627 | 0.7093 | 1330 | 0.9378 |
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+ | 0.8907 | 0.7195 | 1349 | 0.9379 |
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+ | 0.9282 | 0.7296 | 1368 | 0.9356 |
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+ | 0.9235 | 0.7397 | 1387 | 0.9348 |
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+ | 0.9221 | 0.7499 | 1406 | 0.9329 |
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+ | 0.9527 | 0.76 | 1425 | 0.9322 |
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+ | 0.9015 | 0.7701 | 1444 | 0.9321 |
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+ | 0.9371 | 0.7803 | 1463 | 0.9309 |
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+ | 0.9379 | 0.7904 | 1482 | 0.9301 |
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+ | 0.9294 | 0.8005 | 1501 | 0.9299 |
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+ | 0.8619 | 0.8107 | 1520 | 0.9289 |
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+ | 0.9352 | 0.8208 | 1539 | 0.9283 |
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+ | 0.9187 | 0.8309 | 1558 | 0.9273 |
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+ | 0.9197 | 0.8411 | 1577 | 0.9274 |
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+ | 0.9627 | 0.8512 | 1596 | 0.9268 |
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+ | 0.9634 | 0.8613 | 1615 | 0.9259 |
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+ | 0.9242 | 0.8715 | 1634 | 0.9253 |
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+ | 0.937 | 0.8816 | 1653 | 0.9249 |
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+ | 0.9317 | 0.8917 | 1672 | 0.9246 |
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+ | 0.9478 | 0.9019 | 1691 | 0.9245 |
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+ | 0.9598 | 0.912 | 1710 | 0.9241 |
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+ | 0.9347 | 0.9221 | 1729 | 0.9239 |
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+ | 0.9048 | 0.9323 | 1748 | 0.9234 |
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+ | 0.8737 | 0.9424 | 1767 | 0.9232 |
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+ | 0.9272 | 0.9525 | 1786 | 0.9231 |
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+ | 0.9176 | 0.9627 | 1805 | 0.9230 |
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+ | 0.946 | 0.9728 | 1824 | 0.9229 |
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+ | 0.9279 | 0.9829 | 1843 | 0.9229 |
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+ | 0.907 | 0.9931 | 1862 | 0.9229 |
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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 2.19.2
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+ - Tokenizers 0.19.1
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+ "vocab_size": 50304
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+ }
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