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joedonino/zephyr-7b-radia-html-events-v8

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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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+ - generated_from_trainer
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+ model-index:
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+ - name: models
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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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+ # models
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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: 0.7368
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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: 0.0004
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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: 2
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+ - total_train_batch_size: 16
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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: 100
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+ - training_steps: 40
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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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+ | 0.9828 | 0.02 | 1 | 1.0330 |
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+ | 1.1538 | 0.03 | 2 | 1.0256 |
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+ | 0.9734 | 0.05 | 3 | 1.0120 |
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+ | 1.0574 | 0.07 | 4 | 0.9942 |
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+ | 0.9797 | 0.09 | 5 | 0.9755 |
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+ | 0.9399 | 0.1 | 6 | 0.9580 |
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+ | 1.0294 | 0.12 | 7 | 0.9434 |
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+ | 0.7965 | 0.14 | 8 | 0.9318 |
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+ | 0.7741 | 0.16 | 9 | 0.9236 |
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+ | 0.8252 | 0.17 | 10 | 0.9178 |
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+ | 0.8478 | 0.19 | 11 | 0.9135 |
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+ | 0.9641 | 0.21 | 12 | 0.9068 |
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+ | 0.9073 | 0.22 | 13 | 0.8980 |
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+ | 0.9682 | 0.24 | 14 | 0.8877 |
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+ | 0.8794 | 0.26 | 15 | 0.8774 |
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+ | 0.7602 | 0.28 | 16 | 0.8690 |
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+ | 0.9019 | 0.29 | 17 | 0.8611 |
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+ | 0.8619 | 0.31 | 18 | 0.8547 |
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+ | 0.8195 | 0.33 | 19 | 0.8484 |
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+ | 0.9562 | 0.34 | 20 | 0.8418 |
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+ | 0.7822 | 0.36 | 21 | 0.8366 |
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+ | 0.767 | 0.38 | 22 | 0.8308 |
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+ | 0.9024 | 0.4 | 23 | 0.8242 |
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+ | 0.8596 | 0.41 | 24 | 0.8183 |
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+ | 0.8424 | 0.43 | 25 | 0.8123 |
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+ | 0.7396 | 0.45 | 26 | 0.8059 |
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+ | 0.7742 | 0.47 | 27 | 0.7999 |
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+ | 0.7007 | 0.48 | 28 | 0.7943 |
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+ | 0.6915 | 0.5 | 29 | 0.7890 |
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+ | 0.7054 | 0.52 | 30 | 0.7836 |
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+ | 0.7622 | 0.53 | 31 | 0.7785 |
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+ | 0.6493 | 0.55 | 32 | 0.7720 |
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+ | 0.6106 | 0.57 | 33 | 0.7650 |
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+ | 0.7534 | 0.59 | 34 | 0.7583 |
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+ | 0.7065 | 0.6 | 35 | 0.7532 |
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+ | 0.8823 | 0.62 | 36 | 0.7472 |
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+ | 0.7082 | 0.64 | 37 | 0.7424 |
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+ | 0.7292 | 0.66 | 38 | 0.7405 |
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+ | 0.8142 | 0.67 | 39 | 0.7390 |
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+ | 0.6079 | 0.69 | 40 | 0.7368 |
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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 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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