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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: Rijgersberg/GEITje-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: GEITje-ultra-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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+ # GEITje-ultra-sft
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+
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+ This model is a fine-tuned version of [Rijgersberg/GEITje-7B](https://huggingface.co/Rijgersberg/GEITje-7B) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8563
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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: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 32
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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: 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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8632 | 1.0 | 238 | 0.8563 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
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+ {
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+ "epoch": 1.0,
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+ "eval_loss": 0.8563192486763,
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+ "eval_runtime": 465.44,
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+ "eval_samples": 34116,
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+ "eval_samples_per_second": 7.531,
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+ "eval_steps_per_second": 0.236,
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+ "train_loss": 0.5069183211366669,
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+ "train_samples": 285533,
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+ "train_samples_per_second": 3.208,
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+ "train_steps_per_second": 0.025
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+ }
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+ "eval_samples_per_second": 7.531,
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+ "eval_steps_per_second": 0.236
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+ }
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.36.2"
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+ }
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