This model is a fine-tuned version of g8a9/tweety-mistral-7b on the giux78/100k-sft-ready-ultrafeedback-ita dataset. It achieves the following results on the evaluation set:

Loss: 1.2661

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
1.2875	0.9999	9050	1.2661

Framework versions

PEFT 0.7.1
Transformers 4.40.2
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1

g8a9/tweety-mistral-7b-sft

sft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

g8a9/
tweety-mistral-7b-sft