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README.md ADDED
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+ ---
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+ library_name: transformers
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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: sft_smollm_diff_v2
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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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+ # sft_smollm_diff_v2
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+
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+ This model was trained from scratch on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7209
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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: 0.001
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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: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 16
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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
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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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+ | 1.8048 | 0.9998 | 3181 | 1.7209 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ {
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+ "train_samples": 460142,
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+ "train_samples_per_second": 13.827,
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+ "train_steps_per_second": 0.216
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+ }
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+ {
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+ "_name_or_path": "/playpen/xinyu/checkpoints/pt_smollm_diff_28000_hf",
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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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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "max_position_embeddings": 2048,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 9,
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+ "num_hidden_layers": 30,
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+ "num_key_value_heads": 3,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": true,
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+ "transformers_version": "4.46.0",
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+ "use_cache": false,
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+ "vocab_size": 49152
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+ }
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+ }
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