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

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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