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End of training

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+ ---
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+ license: gemma
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+ base_model: google/gemma-2b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: G0513HMAB1
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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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+ # G0513HMAB1
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+
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+ This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1352
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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: 80
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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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+ | 1.926 | 0.09 | 10 | 1.9074 |
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+ | 1.8937 | 0.18 | 20 | 1.8418 |
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+ | 1.7669 | 0.27 | 30 | 1.6397 |
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+ | 1.4926 | 0.36 | 40 | 1.2660 |
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+ | 1.0153 | 0.45 | 50 | 0.6891 |
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+ | 0.5171 | 0.54 | 60 | 0.3388 |
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+ | 0.2538 | 0.63 | 70 | 0.1816 |
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+ | 0.1674 | 0.73 | 80 | 0.1558 |
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+ | 0.147 | 0.82 | 90 | 0.1501 |
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+ | 0.1461 | 0.91 | 100 | 0.1470 |
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+ | 0.1485 | 1.0 | 110 | 0.1488 |
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+ | 0.1444 | 1.09 | 120 | 0.1460 |
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+ | 0.1446 | 1.18 | 130 | 0.1469 |
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+ | 0.1459 | 1.27 | 140 | 0.1454 |
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+ | 0.1469 | 1.36 | 150 | 0.1441 |
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+ | 0.1404 | 1.45 | 160 | 0.1456 |
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+ | 0.142 | 1.54 | 170 | 0.1426 |
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+ | 0.1418 | 1.63 | 180 | 0.1418 |
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+ | 0.1429 | 1.72 | 190 | 0.1429 |
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+ | 0.1401 | 1.81 | 200 | 0.1400 |
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+ | 0.1415 | 1.9 | 210 | 0.1392 |
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+ | 0.141 | 1.99 | 220 | 0.1395 |
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+ | 0.1393 | 2.08 | 230 | 0.1376 |
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+ | 0.137 | 2.18 | 240 | 0.1374 |
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+ | 0.1349 | 2.27 | 250 | 0.1368 |
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+ | 0.1392 | 2.36 | 260 | 0.1367 |
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+ | 0.1369 | 2.45 | 270 | 0.1364 |
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+ | 0.1337 | 2.54 | 280 | 0.1360 |
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+ | 0.1322 | 2.63 | 290 | 0.1356 |
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+ | 0.1341 | 2.72 | 300 | 0.1353 |
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+ | 0.1349 | 2.81 | 310 | 0.1352 |
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+ | 0.1343 | 2.9 | 320 | 0.1352 |
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+ | 0.1365 | 2.99 | 330 | 0.1352 |
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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 0.14.0
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