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README.md ADDED
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+ ---
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+ license: llama2
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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-lima
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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-lima
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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: 2.5297
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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: 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: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 128
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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: 10.0
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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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+ | 1.9786 | 1.0 | 6 | 2.6180 |
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+ | 1.75 | 2.0 | 12 | 1.9988 |
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+ | 1.5489 | 3.0 | 18 | 1.9909 |
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+ | 1.3631 | 4.0 | 24 | 1.9766 |
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+ | 1.0134 | 5.0 | 30 | 2.1003 |
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+ | 0.8425 | 6.0 | 36 | 2.1683 |
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+ | 0.7051 | 7.0 | 42 | 2.3737 |
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+ | 0.594 | 8.0 | 48 | 2.5296 |
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+ | 0.5107 | 9.0 | 54 | 2.5203 |
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+ | 0.4594 | 10.0 | 60 | 2.5297 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
all_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "train_loss": 1.0364325324694315,
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+ "train_runtime": 358.0118,
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+ "train_samples": 1030,
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+ "train_samples_per_second": 20.642,
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+ "train_steps_per_second": 0.168
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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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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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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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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.2",
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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": "4.38.2"
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