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kanishka
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opt-babylm2-rewritten-clean-spacy-earlystop-bpe_seed-42_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 +409 -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 +3296 -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-earlystop-bpe_seed-42_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-earlystop-bpe_seed-42_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: 2.6880
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+ - Accuracy: 0.4787
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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: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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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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+ - 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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+ | 4.0959 | 0.9999 | 2257 | 3.8126 | 0.3613 |
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+ | 3.4463 | 1.9999 | 4514 | 3.2972 | 0.4099 |
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+ | 3.1228 | 2.9998 | 6771 | 3.0851 | 0.4315 |
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+ | 2.9166 | 3.9998 | 9028 | 2.9807 | 0.4418 |
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+ | 2.8402 | 4.9997 | 11285 | 2.9249 | 0.4476 |
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+ | 2.7832 | 5.9997 | 13542 | 2.8851 | 0.4521 |
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+ | 2.7377 | 6.9996 | 15799 | 2.8602 | 0.4546 |
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+ | 2.7101 | 8.0 | 18057 | 2.8389 | 0.4572 |
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+ | 2.684 | 8.9999 | 20314 | 2.8260 | 0.4586 |
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+ | 2.6654 | 9.9999 | 22571 | 2.8155 | 0.4596 |
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+ | 2.6466 | 10.9998 | 24828 | 2.8077 | 0.4604 |
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+ | 2.6474 | 11.9998 | 27085 | 2.8025 | 0.4615 |
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+ | 2.6366 | 12.9997 | 29342 | 2.7983 | 0.4619 |
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+ | 2.625 | 13.9997 | 31599 | 2.7928 | 0.4626 |
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+ | 2.6109 | 14.9996 | 33856 | 2.7690 | 0.4654 |
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+ | 2.5658 | 16.0 | 36114 | 2.7445 | 0.4686 |
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+ | 2.5185 | 16.9999 | 38371 | 2.7228 | 0.4717 |
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+ | 2.4637 | 17.9999 | 40628 | 2.7043 | 0.4747 |
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+ | 2.3969 | 18.9998 | 42885 | 2.6895 | 0.4774 |
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+ | 2.3245 | 19.9989 | 45140 | 2.6880 | 0.4787 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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