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Kenito21/Prueba-Kenito

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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: 4i-ai/Llama-2-7b-alpaca-es
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+ model-index:
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+ - name: experiments
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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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+ # experiments
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+
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+ This model is a fine-tuned version of [4i-ai/Llama-2-7b-alpaca-es](https://huggingface.co/4i-ai/Llama-2-7b-alpaca-es) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.0018
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+ - eval_runtime: 2.2739
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+ - eval_samples_per_second: 21.989
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+ - eval_steps_per_second: 3.078
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+ - epoch: 42.1053
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+ - step: 50
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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: 0.0003
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 32
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+ - total_train_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: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.1.dev0
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+ - Transformers 4.40.0.dev0
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.10.1
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+ - Tokenizers 0.15.2
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+ "bias": "none",
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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