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O0430HMA16

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  1. README.md +93 -0
  2. adapter_config.json +43 -0
  3. adapter_model.bin +3 -0
  4. model.safetensors +3 -0
  5. special_tokens_map.json +10 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +242 -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: allenai/OLMo-1B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: O0430HMA16
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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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+ # O0430HMA16
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+
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+ This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1386
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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: 0.0003
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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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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine_with_restarts
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 3
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.5715 | 0.09 | 10 | 0.2837 |
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+ | 0.1807 | 0.18 | 20 | 0.1554 |
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+ | 0.1515 | 0.27 | 30 | 0.1672 |
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+ | 0.1573 | 0.36 | 40 | 0.1535 |
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+ | 0.1517 | 0.45 | 50 | 0.1504 |
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+ | 0.1521 | 0.54 | 60 | 0.1490 |
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+ | 0.1513 | 0.63 | 70 | 0.1472 |
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+ | 0.1494 | 0.73 | 80 | 0.1574 |
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+ | 0.1484 | 0.82 | 90 | 0.1490 |
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+ | 0.149 | 0.91 | 100 | 0.1494 |
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+ | 0.1512 | 1.0 | 110 | 0.1499 |
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+ | 0.1463 | 1.09 | 120 | 0.1482 |
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+ | 0.1462 | 1.18 | 130 | 0.1522 |
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+ | 0.1484 | 1.27 | 140 | 0.1487 |
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+ | 0.1499 | 1.36 | 150 | 0.1501 |
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+ | 0.1463 | 1.45 | 160 | 0.1478 |
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+ | 0.146 | 1.54 | 170 | 0.1477 |
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+ | 0.1472 | 1.63 | 180 | 0.1472 |
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+ | 0.1461 | 1.72 | 190 | 0.1490 |
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+ | 0.1443 | 1.81 | 200 | 0.1497 |
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+ | 0.1494 | 1.9 | 210 | 0.1503 |
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+ | 0.1456 | 1.99 | 220 | 0.1472 |
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+ | 0.1429 | 2.08 | 230 | 0.1446 |
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+ | 0.1383 | 2.18 | 240 | 0.1445 |
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+ | 0.1401 | 2.27 | 250 | 0.1450 |
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+ | 0.141 | 2.36 | 260 | 0.1459 |
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+ | 0.1398 | 2.45 | 270 | 0.1428 |
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+ | 0.1341 | 2.54 | 280 | 0.1389 |
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+ | 0.1345 | 2.63 | 290 | 0.1411 |
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+ | 0.1347 | 2.72 | 300 | 0.1395 |
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+ | 0.1335 | 2.81 | 310 | 0.1387 |
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+ | 0.1321 | 2.9 | 320 | 0.1387 |
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+ | 0.1375 | 2.99 | 330 | 0.1386 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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