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Add AI-MO/deepseek-math-7b-sft-aimo_v51.2 checkpoint

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README.md ADDED
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+ ---
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+ base_model: AI-MO/deepseek-math-7b-sft
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+ tags:
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+ - alignment-handbook
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+ - generated_from_trainer
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+ datasets:
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+ - AI-MO/tora-chosen-v0.7
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+ model-index:
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+ - name: aimo_v51.2
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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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+ # aimo_v51.2
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+
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+ This model is a fine-tuned version of [AI-MO/deepseek-math-7b-sft](https://huggingface.co/AI-MO/deepseek-math-7b-sft) on the AI-MO/tora-chosen-v0.7 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5302
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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: 8
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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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+ - total_train_batch_size: 32
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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: 4.0
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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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+ | 0.4295 | 1.0 | 1733 | 0.4313 |
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+ | 0.3638 | 2.0 | 3466 | 0.4332 |
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+ | 0.2951 | 3.0 | 5199 | 0.4704 |
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+ | 0.2225 | 4.0 | 6932 | 0.5302 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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+ {
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+ "epoch": 4.0,
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+ "eval_loss": 0.5301879048347473,
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+ "eval_runtime": 0.5773,
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+ "eval_samples": 99,
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+ "eval_samples_per_second": 133.388,
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+ "eval_steps_per_second": 3.465,
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+ "perplexity": 1.699251576208271,
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+ "total_flos": 340525408321536.0,
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+ "train_loss": 0.3252074327502578,
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+ "train_runtime": 5343.4474,
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+ "train_samples": 73061,
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+ "train_samples_per_second": 41.505,
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+ "train_steps_per_second": 1.297
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+ }
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+ {
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+ "_name_or_path": "AI-MO/deepseek-math-7b-sft",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "bos_token_id": 100000,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "mlp_bias": false,
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+ "num_attention_heads": 32,
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+ "vocab_size": 102400
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+ }
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+ "eval_samples_per_second": 133.388,
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+ "eval_steps_per_second": 3.465,
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+ "perplexity": 1.699251576208271
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