cdd77e3c-d251-4a54-bfca-dbd43f9a1725

This model is a fine-tuned version of DeepMount00/Llama-3-8b-Ita on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1643

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: 0.000213
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0004	1	0.6095
0.2669	0.0213	50	0.2906
0.2541	0.0425	100	0.2186
0.275	0.0638	150	0.2177
0.2931	0.0851	200	0.2002
0.254	0.1063	250	0.1978
0.2914	0.1276	300	0.1880
0.1944	0.1488	350	0.1762
0.234	0.1701	400	0.1677
0.2486	0.1914	450	0.1651
0.2541	0.2126	500	0.1643

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1