gemma-2-2b-it-mt-sft-full_new

This model is a fine-tuned version of google/gemma-2-2b-it on the haoranxu/ALMA-Human-Parallel dataset. It achieves the following results on the evaluation set:

• Loss: 1.8862

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.7473	0.9982	283	1.8862

Framework versions

• Transformers 4.43.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1