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kanishka
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opt-babylm2-rewritten-clean-spacy_no-num-adj-earlystop-bpe_seed-211_1e-3

Text Generation
Transformers
Safetensors
opt
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
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  1. README.md +82 -0
  2. added_tokens.json +429 -0
  3. config.json +31 -0
  4. generation_config.json +7 -0
  5. merges.txt +0 -0
  6. model.safetensors +3 -0
  7. special_tokens_map.json +30 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +3465 -0
  10. training_args.bin +3 -0
  11. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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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: opt-babylm2-rewritten-clean-spacy_no-num-adj-earlystop-bpe_seed-211_1e-3
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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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+ # opt-babylm2-rewritten-clean-spacy_no-num-adj-earlystop-bpe_seed-211_1e-3
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6884
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+ - Accuracy: 0.4783
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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: 0.001
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 211
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 32000
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+ - num_epochs: 20.0
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+ - mixed_precision_training: Native AMP
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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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+ | 4.0839 | 1.0 | 2225 | 3.8319 | 0.3594 |
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+ | 3.4456 | 2.0 | 4450 | 3.3209 | 0.4073 |
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+ | 3.1244 | 3.0 | 6675 | 3.1047 | 0.4285 |
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+ | 2.9574 | 4.0 | 8900 | 3.0003 | 0.4397 |
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+ | 2.8363 | 5.0 | 11125 | 2.9326 | 0.4464 |
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+ | 2.7798 | 6.0 | 13350 | 2.8933 | 0.4502 |
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+ | 2.7383 | 7.0 | 15575 | 2.8661 | 0.4534 |
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+ | 2.706 | 8.0 | 17800 | 2.8462 | 0.4563 |
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+ | 2.6843 | 9.0 | 20025 | 2.8286 | 0.4581 |
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+ | 2.6625 | 10.0 | 22250 | 2.8218 | 0.4589 |
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+ | 2.6482 | 11.0 | 24475 | 2.8130 | 0.4597 |
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+ | 2.6327 | 12.0 | 26700 | 2.8075 | 0.4604 |
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+ | 2.6196 | 13.0 | 28925 | 2.7995 | 0.4610 |
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+ | 2.6254 | 14.0 | 31150 | 2.7951 | 0.4620 |
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+ | 2.6119 | 15.0 | 33375 | 2.7756 | 0.4640 |
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+ | 2.5659 | 16.0 | 35600 | 2.7508 | 0.4678 |
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+ | 2.5146 | 17.0 | 37825 | 2.7269 | 0.4709 |
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+ | 2.4598 | 18.0 | 40050 | 2.7063 | 0.4740 |
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+ | 2.394 | 19.0 | 42275 | 2.6902 | 0.4770 |
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+ | 2.3215 | 19.9913 | 44480 | 2.6884 | 0.4783 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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