alpaca-lora-7b-en-pt-es-ca-eu-gl-at

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alpaca-lora-7b-en-pt-es-ca-eu-gl-at

This model is a fine-tuned version of decapoda-research/llama-7b-hf on the HiTZ/alpaca_mt ['en', 'pt', 'es', 'ca', 'eu', 'gl', 'at'] dataset. It achieves the following results on the evaluation set:

• Loss: 1.0667

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: 26
• eval_batch_size: 26
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 5
• total_train_batch_size: 130
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2