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In adapter_config.json: "peft.base_model_name_or_path" must be a string
experiments
This model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0001
- eval_runtime: 4.2833
- eval_samples_per_second: 23.346
- eval_steps_per_second: 3.035
- epoch: 57.0
- step: 100
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.15.2
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Model tree for Juan21nino/experiments
Base model
4i-ai/Llama-2-7b-alpaca-es