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README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-7b-hf
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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: llama2-7b-wo-kqa_silver_wogold-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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+ # llama2-7b-wo-kqa_silver_wogold-sft
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8717
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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: 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: 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: 3
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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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+ | 1.0891 | 0.87 | 5 | 1.0166 |
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+ | 0.9432 | 1.91 | 11 | 0.8885 |
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+ | 0.8405 | 2.61 | 15 | 0.8717 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2
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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": 2.61,
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+ "train_loss": 0.9589970588684082,
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+ "train_runtime": 361.1657,
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+ "train_samples": 4044,
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+ "train_samples_per_second": 3.04,
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+ "train_steps_per_second": 0.042
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+ }
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+ {
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+ "_name_or_path": "meta-llama/Llama-2-7b-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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+ "bos_token_id": 1,
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+ "hidden_act": "silu",
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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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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pretraining_tp": 1,
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+ "transformers_version": "4.39.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.39.0.dev0"
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+ }
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