ad54957d-2e7b-443b-ade8-400f73edce50

This model is a fine-tuned version of openlm-research/open_llama_3b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6053

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• 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	0.0001	1	1.3564
0.9659	0.0068	50	0.8939
0.8672	0.0136	100	0.8299
0.8152	0.0204	150	0.7754
0.8009	0.0272	200	0.7342
0.8532	0.0340	250	0.7008
0.8016	0.0408	300	0.6677
0.699	0.0476	350	0.6333
0.7865	0.0544	400	0.6135
0.5837	0.0611	450	0.6052
0.5879	0.0679	500	0.6053

Framework versions

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