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End of training

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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: mosaicml/mpt-7b-instruct
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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: mpt_1000_STEPS_1e5_SFT_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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+ # mpt_1000_STEPS_1e5_SFT_SFT
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+
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+ This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3857
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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: 1e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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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_steps: 100
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+ - training_steps: 1000
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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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+ | 0.5003 | 0.05 | 50 | 0.4827 |
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+ | 0.4582 | 0.1 | 100 | 0.5370 |
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+ | 0.485 | 0.15 | 150 | 0.4682 |
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+ | 0.5202 | 0.2 | 200 | 0.4486 |
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+ | 0.4687 | 0.24 | 250 | 0.4494 |
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+ | 0.469 | 0.29 | 300 | 0.4485 |
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+ | 0.4331 | 0.34 | 350 | 0.4359 |
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+ | 0.4189 | 0.39 | 400 | 0.4268 |
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+ | 0.4444 | 0.44 | 450 | 0.4190 |
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+ | 0.4187 | 0.49 | 500 | 0.4140 |
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+ | 0.4045 | 0.54 | 550 | 0.4090 |
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+ | 0.4159 | 0.59 | 600 | 0.4021 |
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+ | 0.3862 | 0.64 | 650 | 0.3973 |
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+ | 0.3773 | 0.68 | 700 | 0.3930 |
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+ | 0.382 | 0.73 | 750 | 0.3893 |
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+ | 0.3892 | 0.78 | 800 | 0.3873 |
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+ | 0.4079 | 0.83 | 850 | 0.3862 |
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+ | 0.3667 | 0.88 | 900 | 0.3857 |
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+ | 0.3724 | 0.93 | 950 | 0.3857 |
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+ | 0.3908 | 0.98 | 1000 | 0.3857 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "_name_or_path": "mosaicml/mpt-7b-instruct",
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+ }
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