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DavieLion
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Llama-3.2-1B-SPIN-iter2

Safetensors
llama
alignment-handbook
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Model card Files
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  1. README.md +61 -3
  2. all_results.json +8 -0
  3. config.json +33 -0
  4. generation_config.json +9 -0
  5. model.safetensors +3 -0
  6. special_tokens_map.json +23 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +2063 -0
  9. train_results.json +8 -0
  10. trainer_state.json +2242 -0
  11. training_args.bin +3 -0
README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: outputs/iter1-ckpt
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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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+ - new_data/iter1
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+ - new_data/iter2
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+ model-index:
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+ - name: iter2-ckpt
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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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+ # iter2-ckpt
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+
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+ This model is a fine-tuned version of [outputs/iter1-ckpt](https://huggingface.co/outputs/iter1-ckpt) on the new_data/iter1 and the new_data/iter2 datasets.
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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-07
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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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: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 6.0
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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 4.37.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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+ {
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+ "epoch": 5.99,
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+ "train_loss": 0.057728804025485636,
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+ "train_runtime": 21391.1697,
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+ "train_samples": 16800,
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+ "train_samples_per_second": 4.712,
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+ "train_steps_per_second": 0.073
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+ }
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+ "_name_or_path": "outputs/iter1-ckpt",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 128001,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 16,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "factor": 32.0,
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+ "type": "linear"
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+ },
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.0",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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