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README.md ADDED
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+ ---
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+ license: other
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+ base_model: google/gemma-7b
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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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+ datasets:
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+ - generator
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+ model-index:
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+ - name: zephyr-7b-gemma-sft
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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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+ # zephyr-7b-gemma-sft
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+
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+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9732
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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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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+ | 0.9482 | 1.0 | 299 | 0.9848 |
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+ | 0.8139 | 2.0 | 599 | 0.9610 |
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+ | 0.722 | 2.99 | 897 | 0.9732 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.1
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+ {
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+ "epoch": 2.99,
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+ "eval_loss": 0.973169207572937,
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+ "eval_runtime": 22.1864,
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+ "eval_samples": 500,
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+ "eval_samples_per_second": 86.224,
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+ "train_loss": 1.0022602648772259,
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+ "train_runtime": 5184.357,
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+ "train_samples": 9500,
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+ "train_samples_per_second": 22.178,
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+ "train_steps_per_second": 0.173
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+ }
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+ "eval_samples": 500,
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+ "eval_samples_per_second": 86.224,
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+ "eval_steps_per_second": 1.352
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+ }
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+ "pad_token_id": 0,
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+ "transformers_version": "4.39.0.dev0"
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