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openllama-3b-finance

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openlm-research/open_llama_3b_v2
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - financial_phrasebank
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: openllama-3b-finance
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: financial_phrasebank
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+ type: financial_phrasebank
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+ config: sentences_50agree
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+ split: train
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+ args: sentences_50agree
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.4142561983471074
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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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+ # openllama-3b-finance
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+
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+ This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the financial_phrasebank dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9007
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+ - Accuracy: 0.4143
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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: 0.0002
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: linear
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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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 16.4346 | 0.01 | 20 | 2.5105 | 0.4143 |
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+ | 1.8681 | 0.01 | 40 | 5.7312 | 0.4143 |
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+ | 1.8542 | 0.02 | 60 | 5.0027 | 0.4143 |
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+ | 2.3731 | 0.02 | 80 | 4.2958 | 0.4143 |
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+ | 2.3024 | 0.03 | 100 | 4.9771 | 0.4143 |
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+ | 2.6812 | 0.03 | 120 | 4.6762 | 0.4143 |
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+ | 2.4304 | 0.04 | 140 | 5.2389 | 0.4143 |
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+ | 2.561 | 0.04 | 160 | 4.4461 | 0.4143 |
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+ | 2.08 | 0.05 | 180 | 4.6807 | 0.4143 |
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+ | 4.0186 | 0.05 | 200 | 5.3431 | 0.4143 |
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+ | 2.7261 | 0.06 | 220 | 4.9663 | 0.4143 |
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+ | 1.7432 | 0.06 | 240 | 4.4788 | 0.4143 |
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+ | 2.2759 | 0.07 | 260 | 5.6531 | 0.4143 |
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+ | 1.8702 | 0.07 | 280 | 6.7118 | 0.4143 |
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+ | 2.2412 | 0.08 | 300 | 5.0398 | 0.4143 |
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+ | 1.1515 | 0.08 | 320 | 6.3377 | 0.4143 |
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+ | 2.6582 | 0.09 | 340 | 5.0585 | 0.4143 |
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+ | 2.1056 | 0.09 | 360 | 5.6544 | 0.4143 |
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+ | 3.1513 | 0.1 | 380 | 3.8076 | 0.4143 |
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+ | 2.0003 | 0.1 | 400 | 5.1281 | 0.4132 |
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+ | 19.9181 | 0.11 | 420 | 35.4379 | 0.4143 |
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+ | 29.2872 | 0.11 | 440 | 16.2178 | 0.4143 |
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+ | 3.4213 | 0.12 | 460 | 13.0984 | 0.4143 |
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+ | 1.3358 | 0.12 | 480 | 27.2436 | 0.4143 |
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+ | 4.2725 | 0.13 | 500 | 24.0192 | 0.4143 |
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+ | 4.9844 | 0.13 | 520 | 12.9378 | 0.1178 |
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+ | 7.9312 | 0.14 | 540 | 10.8854 | 0.4143 |
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+ | 1.5126 | 0.14 | 560 | 14.3267 | 0.4143 |
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+ | 3.9021 | 0.15 | 580 | 10.0051 | 0.4143 |
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+ | 3.7081 | 0.15 | 600 | 9.5176 | 0.1136 |
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+ | 3.9107 | 0.16 | 620 | 7.2548 | 0.4143 |
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+ | 2.8381 | 0.17 | 640 | 3.9992 | 0.4143 |
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+ | 3.0625 | 0.17 | 660 | 4.3300 | 0.4143 |
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+ | 1.812 | 0.18 | 680 | 10.6038 | 0.4143 |
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+ | 6.9616 | 0.18 | 700 | 11.0092 | 0.4143 |
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+ | 1.7157 | 0.19 | 720 | 14.8428 | 0.4143 |
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+ | 4.7153 | 0.19 | 740 | 3.6624 | 0.4143 |
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+ | 2.8871 | 0.2 | 760 | 5.7465 | 0.4143 |
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+ | 2.4885 | 0.2 | 780 | 12.4440 | 0.4143 |
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+ | 3.137 | 0.21 | 800 | 14.1504 | 0.4143 |
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+ | 3.0503 | 0.21 | 820 | 14.1326 | 0.4143 |
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+ | 2.9254 | 0.22 | 840 | 16.0438 | 0.1291 |
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+ | 2.711 | 0.22 | 860 | 14.0977 | 0.4143 |
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+ | 4.8591 | 0.23 | 880 | 9.3210 | 0.1281 |
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+ | 2.8734 | 0.23 | 900 | 6.3782 | 0.4143 |
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+ | 2.603 | 0.24 | 920 | 5.1658 | 0.4143 |
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+ | 4.4641 | 0.24 | 940 | 3.9345 | 0.4143 |
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+ | 2.3522 | 0.25 | 960 | 5.5901 | 0.1436 |
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+ | 1.9584 | 0.25 | 980 | 5.0562 | 0.4143 |
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+ | 2.679 | 0.26 | 1000 | 2.5428 | 0.4143 |
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+ | 4.13 | 0.26 | 1020 | 1.3911 | 0.4143 |
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+ | 3.4319 | 0.27 | 1040 | 8.2340 | 0.4143 |
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+ | 1.9382 | 0.27 | 1060 | 8.4589 | 0.4143 |
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+ | 2.2712 | 0.28 | 1080 | 6.0251 | 0.4143 |
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+ | 1.8834 | 0.28 | 1100 | 2.4455 | 0.1436 |
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+ | 1.8591 | 1.0 | 3860 | 3.9007 | 0.4143 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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