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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: HuggingFaceH4/zephyr-7b-beta
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6394
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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: 2.5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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: constant
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 10
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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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+ | 1.367 | 0.35 | 100 | 1.3594 |
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+ | 0.774 | 0.69 | 200 | 0.9080 |
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+ | 0.7724 | 1.04 | 300 | 0.7654 |
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+ | 0.6987 | 1.39 | 400 | 0.7205 |
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+ | 0.6482 | 1.74 | 500 | 0.6828 |
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+ | 0.5204 | 2.08 | 600 | 0.6499 |
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+ | 0.5828 | 2.43 | 700 | 0.6353 |
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+ | 0.522 | 2.78 | 800 | 0.6170 |
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+ | 0.3334 | 3.12 | 900 | 0.6522 |
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+ | 0.3643 | 3.47 | 1000 | 0.6149 |
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+ | 0.3551 | 3.82 | 1100 | 0.6138 |
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+ | 0.3144 | 4.17 | 1200 | 0.6430 |
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+ | 0.3194 | 4.51 | 1300 | 0.6468 |
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+ | 0.3341 | 4.86 | 1400 | 0.6287 |
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+ | 0.2982 | 5.21 | 1500 | 0.6403 |
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+ | 0.3056 | 5.56 | 1600 | 0.6394 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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