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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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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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+ base_model: ybelkada/falcon-7b-sharded-bf16
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+ model-index:
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+ - name: falcon-7b-sharded-bf16-finetuned-html-code-generation
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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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+ # falcon-7b-sharded-bf16-finetuned-html-code-generation
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+
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+ This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2923
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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: 2
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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: 4
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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: 0.03
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+ - training_steps: 320
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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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+ | 2.0699 | 0.18 | 20 | 1.7214 |
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+ | 1.7563 | 0.36 | 40 | 1.3886 |
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+ | 1.6152 | 0.54 | 60 | 1.3222 |
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+ | 1.7419 | 0.72 | 80 | 1.2957 |
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+ | 1.3596 | 0.9 | 100 | 1.2585 |
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+ | 1.3861 | 1.08 | 120 | 1.2264 |
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+ | 1.322 | 1.26 | 140 | 1.3842 |
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+ | 1.2072 | 1.43 | 160 | 1.2038 |
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+ | 1.1161 | 1.61 | 180 | 1.2392 |
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+ | 1.1715 | 1.79 | 200 | 1.1981 |
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+ | 1.3095 | 1.97 | 220 | 1.2134 |
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+ | 0.9115 | 2.15 | 240 | 1.2422 |
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+ | 0.7851 | 2.33 | 260 | 1.2923 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
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