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README.md ADDED
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+ ---
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+ license: llama2
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+ base_model: codellama/CodeLlama-34b-Instruct-hf
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+ tags:
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+ - trl
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+ - sft
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+ - unsloth
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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: CodeLlama-34b-Instruct-Shader-hf
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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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+ # CodeLlama-34b-Instruct-Shader-hf
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+
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+ This model is a fine-tuned version of [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7792
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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: 0.0025
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+ - train_batch_size: 4
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: polynomial
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+ - num_epochs: 2
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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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+ | 1.3476 | 0.25 | 1000 | 1.3561 |
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+ | 1.3274 | 0.49 | 2000 | 1.1683 |
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+ | 1.1964 | 0.74 | 3000 | 1.0129 |
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+ | 0.8117 | 0.98 | 4000 | 0.9106 |
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+ | 0.5179 | 1.23 | 5000 | 0.8560 |
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+ | 0.7726 | 1.48 | 6000 | 0.8096 |
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+ | 0.7396 | 1.72 | 7000 | 0.7855 |
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+ | 0.6125 | 1.97 | 8000 | 0.7792 |
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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 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "▁<EOT>": 32003,
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+ }
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+ {
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+ "_name_or_path": "codellama/CodeLlama-34b-Instruct-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": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 22016,
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+ "max_position_embeddings": 16384,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 2,
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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": 1000000,
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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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+ "unsloth_version": "2024.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ "transformers_version": "4.38.2"
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+ "▁<EOT>"
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+ "content": "▁<EOT>",
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+ "▁<EOT>"
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+ "eot_token": "▁<EOT>",
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