DeciLM7B-FineTuning-checkpoints

This model is a fine-tuned version of Deci/DeciLM-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6058

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: reduce_lr_on_plateau
• lr_scheduler_warmup_steps: 150
• training_steps: 738

Training results

Training Loss	Epoch	Step	Validation Loss
1.2254	3.23	100	2.1523
0.4367	6.45	200	2.2709
0.3763	9.68	300	2.4208
0.3719	12.9	400	2.4735
0.355	16.13	500	2.7165
0.3513	19.35	600	2.7926
0.3738	22.58	700	2.6058

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0