step_val_25_gemma-2-2b_hs2_iter1_sftsd2

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0950
• Num Input Tokens Seen: 1470072

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: 8e-06
• train_batch_size: 8
• eval_batch_size: 16
• seed: 2
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Input Tokens Seen
No log	0	0	1.3956	0
1.188	0.0511	5	1.2111	295904
1.1647	0.1021	10	1.1523	591104
1.1386	0.1532	15	1.1210	883280
1.0904	0.2042	20	1.1020	1177976
1.0895	0.2553	25	1.0950	1470072

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1