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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: mistralai/Mistral-7B-v0.3
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: oh-mistral-bs2048_lr2.00E-06_schedulercosine_with_min_lr_warmup1.00E-01_minlr5.00E-07
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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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+ # oh-mistral-bs2048_lr2.00E-06_schedulercosine_with_min_lr_warmup1.00E-01_minlr5.00E-07
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
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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-06
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+ - train_batch_size: 8
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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: 128
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 2048
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+ - total_eval_batch_size: 1024
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine_with_min_lr
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.1
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+ - Pytorch 2.5.0a0+b465a5843b.nv24.09
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.3
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+ {
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+ "epoch": 3.0,
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+ "total_flos": 2589607581450240.0,
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+ "train_loss": 0.5680107090824335,
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+ "train_runtime": 5717.0554,
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+ "train_samples_per_second": 138.517,
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+ "train_steps_per_second": 0.068
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+ }
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+ {
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+ "_name_or_path": "/p/data1/mmlaion/marianna/models/mistralai/Mistral-7B-v0.3",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "initializer_range": 0.02,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.46.1",
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+ "use_cache": false,
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+ "vocab_size": 32768
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+ }
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+ "transformers_version": "4.46.1"
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